Feast Feature Store

Commercial Information

Vendor Name	Feast Feature Store
History	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	None
Support	N/A (open source only)

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 SSO Data encryption at rest
Integrations	Batch data: BigQuery, Google Storage, S3

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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