Feast Feature Store

Commercial Information

Vendor Name

Feast Feature Store


Co-created by GO-JEK and Google Cloud, now governed by the Linux Foundation with Tecton as main contributor

Stand-alone vs. Platform

Stand-alone feature store, integrates with 3rd party MLOps platforms

Delivery Model

Open source

Clouds Supported

AWS, GCP, Azure, On-Prem

Pricing Model

N/A (open source only)

Service Level Guarantees



N/A (open source only)

Feature Store Capabilities

Feature Definitions

Not available

Automated Transforms

Not available (pipelines run outside of Feast)

Feature Ingestion

Python (Feast 0.10) / Spark (Feast 0.9) batch feature ingestion into online store

Storage and Feature Processing Infrastructure

Online storage: Cloud Firestore (Feast 0.10) and Redis (Feast 0.9)

Offline storage: S3, Google Storage, Data Warehouse

Feature Sharing and Discovery

Searchable feature catalog with metadata

Feature discovery including feature values

Feature versioning

Training Dataset Generation

Dataset generated from offline storage using Python SDK

Online Serving

Serving endpoint / API for online data

Monitoring and Alerting

Not available

Security and Data Governance

Data remains in end-user's cloud account


Data encryption at rest


Batch data: BigQuery, Google Storage, S3

Feast Feature Store Frequently Asked Questions

  • How do I install and run Feast

    Feast is a Python library + optional CLI. You can install it using pip.

    You might want to periodically run certain Feast commands (e.g. `feast materialize-incremental`, which updates the online store.) We recommend using schedulers such as Airflow or Cloud Composer for this.

    For more details, please see the quickstart guide

  • Is Feast a database?

    No. Feast is a tool that manages data stored in other systems (e.g. BigQuery, Cloud Firestore, Redshift, DynamoDB). It is not a database, but it helps manage data stored in other systems.

  • What Clouds is Feast available on?

    Feast is available today natively on GCP/AWS, and can easily extend to work in other clouds.

  • Is Feast a feature computational system?

    No. Even though some feature stores include transformations, Feast purely manages retrieval. Feast is used alongside a separate system that computes feature values. Most often, these are pipelines written in SQL or a Python Dataframe library and scheduled to run periodically.

  • Who uses Feast?

    Gojek, Shopify, Salesforce, Twitter, Postmates, Robinhood, Porch, and Zulily are some examples of teams that are currently using the Feast Feature Store


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