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  • Introduction
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  • Roadmap
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  • Getting started
    • Quickstart
    • Concepts
    • Architecture
    • Third party integrations
    • FAQ
  • Tutorials
    • Sample use-case tutorials
    • Validating historical features with Great Expectations
    • Using Scalable Registry
    • Building streaming features
  • How-to Guides
    • Running Feast with Snowflake/GCP/AWS
    • Running Feast in production (e.g. on Kubernetes)
    • Upgrading for Feast 0.20+
    • Customizing Feast
    • Adding or reusing tests
  • Reference
    • Codebase Structure
    • Type System
    • Data sources
      • Overview
      • File
      • Snowflake
      • BigQuery
      • Redshift
      • Push
      • Kafka
      • Kinesis
      • Spark (contrib)
      • PostgreSQL (contrib)
      • Trino (contrib)
      • Azure Synapse + Azure SQL (contrib)
    • Offline stores
    • Online stores
    • Providers
    • Batch Materialization Engines
    • Feature repository
    • Feature servers
    • [Beta] Web UI
    • [Alpha] On demand feature view
    • [Alpha] Data quality monitoring
    • Feast CLI reference
    • Python API reference
    • Usage
  • Project
    • Contribution process
    • Development guide
    • Backwards Compatibility Policy
    • Versioning policy
    • Release process
    • Feast 0.9 vs Feast 0.10+
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  1. Reference

Data sources

Please see Data Source for a conceptual explanation of data sources.

OverviewFileSnowflakeBigQueryRedshiftPushKafkaKinesisSpark (contrib)PostgreSQL (contrib)Trino (contrib)Azure Synapse + Azure SQL (contrib)
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