EXISTING FEATURE STORES

Hopsworks

Hopsworks

Updated on:
October 18, 2024

The first open-source Feature Store and the first with a DataFrame API. Most data sources (batch/streaming) supported. Ingest features using SQL, Spark, Python, Flink. The only feature store supporting stream processing for writes. Available as managed platform and on-premises.

Company:
Hopsworks
Vendor
Open source
On-Prem
Vertex AI

Vertex AI

Updated on:
August 11, 2023

A centralized repository for organizing, storing, and serving ML features on the GCP Vertex platform. Vertex AI Feature Store supports BigQuery, GCS as data sources. Separate ingestion jobs after feature engineering in BigQuery. Offline is BigQuery, Online BigTable.

Company:
Google
Vendor
SageMaker

SageMaker

Updated on:
August 11, 2023

Sagemaker Feature Store integrates with other AWS services like Redshift, S3 as data sources and Sagemaker serving. It has a feature registry UI in Sagemaker, and Python/SQL APIs. Online FS is Dynamo, offline parquet/S3.

Company:
Amazon
Vendor
Databricks

Databricks

Updated on:
August 11, 2023

A Feature Store built around Spark Dataframes. Supports Spark/SQL for feature engineering with a UI in Databricks. Online FS is AWS RDS/MYSQL/Aurora. Offline is Delta Lake.

Company:
Databricks
Vendor
Featureform

Featureform

Updated on:
August 11, 2023

FeatureForm is a virtual feature store platfrom - you plug in your offline and online data stores. It supports Flink, Snowflake, Airflow Kafka, and other frameworks.

Company:
Featureform
Vendor
On-Prem
Open source
Tecton

Tecton

Updated on:
August 11, 2023

Tecton.ai is a managed feature store that uses PySpark or SQL (Databricks or EMR) or Snowflake to compute features and DynamoDB to serve online features. It provides a Python-based DSL for orchestration and feature transformations that are computed as a PySpark job. Available on AWS.

Company:
Tecton
Vendor
Iguazio

Iguazio

Updated on:
August 11, 2023

A centralized and versioned feature storre built around their MLRun open-source MLOps orchestration framework for ML model management. Uses V3IO as it offline and online feature stores.

Company:
Iguazio
Vendor
On-Prem
Open source
Abacus.ai

Abacus.ai

Updated on:
August 11, 2023

The platform allows to build real-time machine and deep learning features, upload ipython notebooks, monitor model drift, and set up CI/CD for machine learning systems.

Company:
Abacus.ai
Vendor
H2O Feature Store

H2O Feature Store

Updated on:
October 3, 2023

H2O.ai and AT&T co-created the H2O AI Feature Store to store, update, and share the features data scientists, developers, and engineers need to build AI models.

Company:
H2O.ai and AT&T
Vendor
On-Prem
Qwak

Qwak

Updated on:
August 11, 2023

Qwak's feature store is a component of the Qwak ML platform, providing transformations, a feature registry and both an online and offline store.

Company:
Qwak
Vendor
Feature Byte

Feature Byte

Updated on:
August 11, 2023

FeatureByte is a solution that aims to simplify the process of preparing and managing data for AI models, making it easier for organizations to scale their AI efforts.

Company:
Feature Byte
Vendor
Fennel

Fennel

Updated on:
October 18, 2024

Fennel is a fully managed realtime feature platform from an-Facebook team. Powered by Rust, it is built ground up to be easy to use. It works natively with Python/Pandas, has beautiful APIs, installs in your cloud in minutes, and has best-in-class support for data/feature quality.

Company:
Fennel
Vendor
Chalk

Chalk

Updated on:
October 18, 2024

Chalk is a platform for building real-time ML applications that includes a real-time feature store.

Company:
Chalk AI
Vendor