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Releases

Week of April 13, 2026

23 releases between April 13, 2026 and April 19, 2026, 5 of them change something you already run.

GA
5
Preview
1
Update
17
On
AWS 22, Azure 21, GCP 20
  1. Altering a catalog or schema's managed storage location is now GA

    Modifies default cloud storage location for new managed tables and volumes.

  2. BI compatibility mode removed from Power BI connector

    Removes option to query Unity Catalog metric views. Reports using this connector no longer function.

  3. ai_parse_document is now generally available

    Parses structured content from unstructured documents, limited to 500 pages and 100 MB.

  4. Anthropic Claude Opus 4.7 now available as a Databricks-hosted model

    Accessible via Foundation Model APIs, supports pay-per-token queries.

  5. Compute log delivery to volumes is now GA

    Delivers Spark driver, worker, and event logs to Unity Catalog volumes, recommended for log storage.

  6. Customer-managed keys now support model serving

    Encrypts model serving container images and model artifacts in Databricks managed registry. Applies to endpoint artifacts created after April 16, 2026.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Dashboard enhancements and bug fixes

    Delays due to warehouse overload now display a message. Fixes widget query batch failures.

  9. Databricks Connector for Google Sheets is now generally available

    Imports and queries Unity Catalog data, including metric views.

  10. Genie Agent (formerly Genie Space) enhancements

    Adds API access to reasoning traces and message comments, increases token limit for Agent mode.

  11. Metric view enhancements

    Replaces SQL mode as default for editing measures and dimensions.

  12. Visualization enhancements

    Adds dashed and dotted line styles to the Pattern section.

  13. AI Gateway now governs MCP servers (Beta)

    Enforces access control and monitors usage across MCP interactions, replacing prior governance methods.

  14. Query-based connectors for Lakeflow Connect (Public Preview)

    Ingests data from databases using a cursor column, supporting Oracle, Teradata, and others.

  15. Sample Data Explorer is generally available

    Lets you ask questions about Unity Catalog tables using natural language, returning SQL queries.

  16. Updated AWS tag character restrictions

    Tag keys and values now cannot contain spaces or /. Tag keys also cannot be just . , .. , or _index.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(not on this cloud)
  17. Updated UI navigation for Databricks Apps

    Streamlines app editing and deployment workflows, accessible from the app switcher.

  18. Create and write to Unity Catalog tables from external Delta clients (Beta)

    Requires catalog-managed commits to be enabled, supports Apache Spark clients.

  19. Lakebase: Customer-managed keys

    Uses a cloud KMS customer-managed key for encryption.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Column-level SAP governance tags sync into Unity Catalog

    Includes fieldSemantics, isPotentiallyPersonal, and isPotentiallySensitive tags for ABAC policies.

  22. Connect Lovable apps to Azure Databricks

    Uses REST API and OAuth authentication. Requires machine-to-machine authentication setup.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  23. Connect Lovable apps to Databricks

    Uses REST API and OAuth machine-to-machine authentication.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  24. SQL reference documentation for managing governed tags

    Adds 5 SQL statements: CREATE, ALTER, DROP, DESCRIBE, SHOW.

  25. Vector Search retrieval quality (Beta)

    measures relevance of search strategies, see Evaluate AI Search retrieval quality.

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