Data and AI releases

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Control Lakebase sink upserts with merge strategies

UpdateNot yet verified

When you write to Lakebase from Structured Streaming, you can use merge strategies to control how upserts update individual columns. Keep the first or last value, ignore nulls, or select values by an ordering column. Merge strategies require Databricks Runtime 19 and above. See Merge strategies for upserts .

Streaming

Read on docs.databricks.com

Also shipped Nov 3, 2026Databricks in November 2026 →

Gemini Enterprise: Salesforce federated data store

Connecting a Salesforce data source with Gemini Enterprise using data federation is generally available (GA). You can use the Gemini Enterprise app assistant to search across your Salesforce accounts, contacts, opportunities, cases, leads, and custom objects, get answers grounded in that content, and create, update, and delete records without needing to...

GA
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More from LakebaseEvery Lakebase release →

LTAP Direct Writes is generally available

LTAP Direct Writes is now generally available. It speeds up how synced tables load into Lakebase by writing the initial load and full refreshes directly to the storage layer instead of through your compute endpoint, so large loads finish faster without competing with your queries.

GA
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ai_search can search Lakebase synced tables (Beta)

The ai_search function can now retrieve from Lakebase synced tables with Lakebase Search enabled, in addition to AI Search indexes. Add a lakebase_search knowledge source to search a Lakebase synced table, or combine it with vector_search sources in the same call. This feature is in Beta . See ai_search function .

Beta
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