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Feast

feast.dev AI Infrastructure & MLOps Online toolOpen source

The open source Feast feature store lets teams define, manage, discover, and serve features for machine learning.

Visit Feast 24 alternatives
feast.dev
Feast homepage screenshot

About Feast

Feast is an open source, web-based feature store built for machine learning (ML) and artificial intelligence teams. It provides a centralized system to define, manage, discover, and serve structured feature data for both model training and production inference workflows, eliminating the need for teams to build and maintain custom feature serving infrastructure.

The tool supports common ML use cases including real-time product and content recommendations, fraud detection, financial risk scoring, and dynamic customer segmentation. It also offers built-in vector similarity search capabilities for retrieval-augmented generation (RAG) use cases, and integrates with a range of offline and online data stores. Public documentation, starter code, and an active community Slack workspace are available to help users get started.

Key features

  • Define, manage, discover, and serve features for ML workflows.
  • Supports use cases including recommendations, fraud detection, and risk scoring.
  • Includes vector similarity search for retrieval-augmented generation (RAG) use cases.
  • Integrates with multiple offline and online data storage solutions.
  • Offers public documentation and a community Slack workspace for support.
Best for: ML and AI teams that need to standardize and serve feature data consistently across model training and production inference workflows.
Good for
  • Open source core functionality with no licensing costs.
  • Supports both offline batch and online real-time feature serving.
  • Includes native vector search support for RAG applications.
  • Has an active community with hundreds of contributors and thousands of Slack members.
Watch out for
  • Requires Python development expertise to implement and integrate.
  • No publicly listed pricing for managed or enterprise versions is available.

Feast at a glance

Website
feast.dev
Type
Online tool
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Yes
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026
open sourcemachine learningai infrastructure

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Feast FAQ

What is Feast used for?
Feast is an open source feature store for machine learning, used to define, manage, discover, and serve feature data for model training and production inference.
Is Feast free to use?
Feast is open source, so its core functionality is free to use without licensing costs. Pricing for any managed or enterprise offerings is not publicly listed on the homepage.
What common use cases does Feast support?
Feast supports use cases including real-time recommendations, fraud detection, financial risk scoring, customer segmentation, and vector search for RAG applications.
Does Feast support real-time feature serving?
Yes, Feast supports both offline batch feature serving for model training and online real-time feature serving for production inference workflows.
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Listing maintained by Chris McClure and the WebIndexly editors · Updated Oct 6, 2026 · How we rank