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v0.12-branch
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  • Introduction
  • Community
  • Roadmap
  • Changelog
  • Getting started
    • Quickstart
    • Concepts
      • Overview
      • Data source
      • Entity
      • Feature view
      • Feature service
      • Feature retrieval
    • Architecture
      • Overview
      • Feature repository
      • Registry
      • Offline store
      • Online store
      • Provider
    • FAQ
  • Tutorials
    • Overview
    • Driver ranking
    • Fraud detection on GCP
    • Real-time credit scoring on AWS
  • How-to Guides
    • Running Feast with GCP/AWS
      • Install Feast
      • Create a feature repository
      • Deploy a feature store
      • Build a training dataset
      • Load data into the online store
      • Read features from the online store
    • Running Feast in production
    • Upgrading from Feast 0.9
    • Adding a custom provider
    • Adding a new online store
    • Adding a new offline store
  • Reference
    • Data sources
      • File
      • BigQuery
      • Redshift
    • Offline stores
      • File
      • BigQuery
      • Redshift
    • Online stores
      • SQLite
      • Redis
      • Datastore
      • DynamoDB
    • Providers
      • Local
      • Google Cloud Platform
      • Amazon Web Services
    • Feature repository
      • feature_store.yaml
      • .feastignore
    • Feast CLI reference
    • Python API reference
    • Usage
  • Project
    • Contribution process
    • Development guide
    • Versioning policy
    • Release process
    • Feast 0.9 vs Feast 0.10+
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Roadmap

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Last updated 3 years ago

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The list below contains the functionality that contributors are planning to develop for Feast

  • Items below that are in development (or planned for development) will be indicated in parentheses.

  • We welcome contribution to all items in the roadmap!

  • Want to influence our roadmap and prioritization? Submit your feedback to .

  • Want to speak to a Feast contributor? We are more than happy to jump on a call. Please schedule a time using .

  • Data Sources

  • Offline Stores

  • Online Stores

  • Streaming

  • Feature Engineering

  • Deployments

  • Feature Serving

  • Data Quality Management

  • Feature Discovery and Governance

this form
Calendly
Redshift source
BigQuery source
Parquet file source
Redshift
BigQuery
In-memory / Pandas
Custom offline store support
Hive (community maintained)
DynamoDB
Redis
Datastore
SQLite
Custom online store support
Custom streaming ingestion job support
RFC
RFC
RFC
#1497