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databricks Platform · Updated May 1, 2026

Community connectors (Beta)

Open source connectors extend Lakeflow Connect to sources without managed connector support.

What it does

Open source connectors extend Lakeflow Connect to sources without managed connector support. They're built and maintained by the community. Use a registered connector or create your own.

Why it matters

Reduces operational overhead and unlocks new capabilities for data teams on Databricks.

Key capabilities
Use a registered community connector
Use a registered community connector
Use a registered community connector
Use a registered community connector to ingest data from a supported source into Databricks.
Create a custom connector
Create a custom connector
Create a custom connector for
Create a custom connector for a new source using the community framework and templates.
Architecture
Databricks Platform → Platform
In short

Open source connectors extend Lakeflow Connect to sources without managed connector support. They're built and maintained by the community.

Read the full documentation ↗
Key takeaway
Open source connectors extend Lakeflow Connect to sources without managed connector support.
2026-05-01-community-connectors-beta Generated by the Databricks Updates Agent · browse all updates