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v0.49-branch
v0.49-branch
  • Introduction
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      • Overview
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      • Role-Based Access Control (RBAC)
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      • Driver ranking
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    • Validating historical features with Great Expectations
    • Building streaming features
    • Retrieval Augmented Generation (RAG) with Feast
  • How-to Guides
    • Running Feast with Snowflake/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
      • Scaling Feast
      • Structuring Feature Repos
    • Running Feast in production (e.g. on Kubernetes)
    • Customizing Feast
      • Adding a custom batch materialization engine
      • Adding a new offline store
      • Adding a new online store
      • Adding a custom provider
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    • Starting Feast servers in TLS(SSL) Mode
  • Reference
    • Codebase Structure
    • Type System
    • Data sources
      • Overview
      • File
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      • PostgreSQL (contrib)
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      • Azure Synapse + Azure SQL (contrib)
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    • Offline stores
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      • Spark (contrib)
      • PostgreSQL (contrib)
      • Trino (contrib)
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    • Batch Materialization Engines
      • Snowflake
      • AWS Lambda (alpha)
      • Spark (contrib)
    • Feature repository
      • feature_store.yaml
      • .feastignore
    • Feature servers
      • Python feature server
      • [Alpha] Go feature server
      • Offline Feature Server
      • Registry server
    • [Beta] Web UI
    • [Beta] On demand feature view
    • [Alpha] Vector Database
    • [Alpha] Data quality monitoring
    • [Alpha] Streaming feature computation with Denormalized
    • Feast CLI reference
    • Python API reference
    • Usage
  • Project
    • Contribution process
    • Development guide
    • Backwards Compatibility Policy
      • Maintainer Docs
    • Versioning policy
    • Release process
    • Feast 0.9 vs Feast 0.10+
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  1. Reference

Data sources

PreviousType SystemNextOverview

Last updated 26 days ago

Was this helpful?

Please see for a conceptual explanation of data sources.

Data Source
Overview
File
Snowflake
BigQuery
Redshift
Push
Kafka
Kinesis
Couchbase (contrib)
Spark (contrib)
PostgreSQL (contrib)
Trino (contrib)
Azure Synapse + Azure SQL (contrib)
https://github.com/feast-dev/feast/blob/v0.49-branch/docs/reference/data-sources/clickhouse.md