New feature
Custom connectors
Custom connectors is a Databricks data engineering capability, introduced May 2026.
Your own Lakeflow Connect connector for a source with no managed one: implement the LakeflowConnect Python interface from the community connectors repository, then deploy and run it in your workspace without contributing it anywhere.
- The template repository ships AI-powered development tools, so building one starts with a /develop-connector command.
- The whole contract is a handful of methods - list the tables, describe a schema, then yield records as plain Python dictionaries along with the next offset.
- Its recommended write-back tests actually write to your real source, then read it back to prove incremental reads and deletes work.
- Category
- Data engineering
- Also known as
- Build a custom connector, Custom connector for Lakeflow Connect, LakeflowConnect interface
- Verified
- 2026-10-20
Sources
- Official Official Databricks / Microsoft docs