vs

Select a feature store
Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Select a feature store
Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

Licence:
Proprietary
APIs:
Python
Scribble Data is an ML engineering product company. Our focus is data preparation. Enrich is our customizable Feature Store, for data science teams that need efficiency and trust in their datasets.
Product pageWebsite
Licence:
Proprietary
APIs:
Forget costly rewrites of your database or limitations on the machine learning libraries you can use. As a virtual feature store, we integrate with your current infrastructure, giving you ultimate flexibility.
Product pageWebsite
Licence:
unspecified
APIs:
Python
Rasgo is a feature store for preparing, understanding, and deploying features using your cloud data warehouse.
Product pageWebsite
Licence:
Unknown
APIs:
Unknown
Abacus.AI has support for all aspects of the ML lifecycle including data pipelines, data wrangling, on-line feature store, model training, hosting and monitoring drift
Product pageWebsite
Licence:
Proprietary
APIs:
PySpark, Spark
Databricks Feature Store is a centralized repository of features. It enables feature sharing and discovery across your organization and also ensures that the same feature computation code is used for model training and inference.
Product pageWebsite
Licence:
proprietary
APIs:
A managed machine learning (ML) platform that allows companies to accelerate the deployment and maintenance of artificial intelligence (AI) models (with a Feature store).
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
Managed Service
APIs:
PySpark, Spark-SQL
Tecton.ai is a managed feature store that uses PySpark (Databricks or EMR) to compute features and DynamoDB to serve online features. It provides a Python-based DSL for feature transformations that is computed as a PySpark job.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
  • Time Travel
Feature Computation:
  • DSL
  • Point-in-Time JOINs
  • PySpark
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • SAML
  • LDAP/AD SSO
Monitoring:
  • Feature Statistics
Feature Storage:
unknown
User Experience:
  • Feature Visualization
  • Web UI

‍

Licence:
APIs:
Aggregate and visualize event-based data, collaborate and productionize your work — powered by cutting edge data infrastructure.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Python
  • Spark
  • PySpark
  • Point-in-Time JOINs
Data Ingestion:
  • Ingestion from Batch Sources
  • Ingestion from Streaming Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI
  • Feature Visualization

‍

Licence:
proprietary
APIs:
unspecified
Molecula, the first cloud-based feature store to bridge the entire spectrum from data readiness to MLops, providing a single solution fo AI and ML needs.
Product pageWebsite
Core Features:
none
Feature Computation:
none
Data Ingestion:
none
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

Licence:
unspecified
APIs:
unspecified
The Iguazio feature store is a centralized and versioned catalog where everyone can engineer and store features along with their metadata and statistics, share them and reuse them, and analyze their impact on existing models
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline Feature Store
  • Online Feature Store
Feature Computation:
  • Python
  • 3rd Party Orchestration
  • Spark
  • PySpark
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
proprietary
APIs:
SQL. Streaming and Batch Ingestion.
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
Product pageWebsite
Core Features:
  • Online feature store
  • Offline feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • CI/CD support
  • Point-in-Time JOINs
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • LDAP/AD SSO
Monitoring:
none
Feature Storage:
none
User Experience:
  • Web UI

‍

Licence:
AGPLv3 license
APIs:
Python, PySpark, Spark, SQL-Spark
The Hopsworks Feature Store is an open-source and managed service that connects to the widest number of data sources and supports feature computations in any Spark or Python environment.
Product pageWebsite
Core Features:
  • Feature Registry/Search
  • Offline feature store
  • Online feature store
  • Time Travel
  • External feature group
Feature Computation:
  • Feature data validation
  • CI/CD support
  • 3rd Party Orchestration
  • Python
  • PySpark
  • Spark
  • Spark Streaming
  • SQL
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
  • Access Control
  • Custom Metadata
  • LDAP/AD SSO
  • OAuth-2
Monitoring:
  • Feature Statistics
Feature Storage:
  • Feature Schema Versioning
  • Training Data File Formats
User Experience:
  • Web UI
  • Feature Visualization
Licence:
Apache-2.0
APIs:
Python. Streaming and Batch Ingestion using Spark
Feast is an open-source framework that enables you to access data from your machine learning models. It allows teams to register, ingest, serve, and monitor features in production. Test does not provide a UI or support for feature engineering - it only ingests ready-made features.
Product pageWebsite
Core Features:
  • Online feature store
  • Feature Registry/Search
  • Time Travel
Feature Computation:
  • Point-in-Time JOINs
  • Python
  • Spark
  • 3rd Party Orchestration
Data Ingestion:
  • Ingestion from Streaming Sources
  • Ingestion from Batch Sources
Governance:
none
Monitoring:
none
Feature Storage:
none
User Experience:
none

‍

‍

© 2024 Feature comparison dot com, all rights reserved.
‍