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.
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.
Originally developed as an open-source feature store by Go-JEK, Feast has been taken on by Tecton to be a minimal, configurable feature store. You can connect in different online/offline data stores and it can run on any platform. Feature engineering is done outside of Feast.
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.
Feathr automatically computes your feature values and joins them to your training data, using point-in-time-correct semantics to avoid data leakage, and supports materializing and deploying your features for use online in production.
An open-source feature computing platform that offers unified SQL APIs and a shared execution plan generator for both offline and online engines, eliminating the need for cumbersome transformation and consistency verification.