REPLACE USING flows
Keeps a streaming table in sync from partial snapshots by replacing every row that matches the key columns.
Why it is worth watching
Completes the change-capture family next to AUTO CDC and REPLACE WHERE, which are both generally available.
What Beta promises
Open to most customers but not for production: support runs through engineering, and the shape of it can still move. On by default on Premium, off on Enterprise.
| Who can use it | Most customers |
|---|---|
| Production use | No |
| Support | Engineering only |
| On by default | Premium yes, Enterprise no |
The definitions are Databricks' own, on its release types page. The label on this page is the one the feature's documentation states, last checked on 14 Sept 2026.
Where to read more
It is part of something we wrote up: Streaming tables from Databricks SQL — A streaming table declared in the SQL editor, refreshed incrementally by a serverless pipeline the system creates for you, without opening a pipeline editor.