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Databricks releases, every cloud

16 releases of 1321

Last updated

  1. Lakeflow Designer August Release

    Adds Unique operator, expands Aggregate, Select, and Python operators, and improves canvas experience. Requires no setup changes.

  2. Environment variables for serverless jobs are in Beta

    Requires workspace admin to enable from Previews page.

  3. Lakeflow Designer Summer Release

    Adds Prepare, Enter Data, Select, and Visualization operators, and expands Output and Join operators.

  4. Lakeflow Designer support for compliance security profile standards

    Enabled by default for workspaces with compliance security profile. Supports all Databricks compliance standards.

  5. Scala and Java UDFs in Unity Catalog are now generally available

    Reuses existing JVM logic, offers better performance than Python UDFs.

  6. Object metadata column is now in Public Preview

    Exposes object properties like MIME type and tags, available in Databricks Runtime 18.1.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. MySQL integrated CDC pipeline is now in Beta

    Replaces separate ingestion gateway, requires single pipeline update.

  9. Parquet v2 for Delta Lake tables is generally available

    Requires Databricks Runtime 18.1 and above, set delta.parquet.format.version to 2.12.0.

  10. AUTO CDC flows for streaming tables in Databricks SQL are generally available

    Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.

  11. Auto time-to-live for automatic row deletion is generally available

    Deletes rows from Delta Lake, Iceberg, and streaming tables based on a DATE or TIMESTAMP column.

  12. Converting a partitioned table to liquid clustering is generally available

    Uses ALTER TABLE command, requires Databricks Runtime 18.1 or above.

  13. Lakehouse Replay (Beta)

    Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.

  14. Lakeflow Designer updates for May 29, 2026

    Operators now display AI-generated descriptions and accept custom join conditions.

  15. Lakeflow Designer updates

    Enabled by default for all workspaces, adds user-defined operators and Git integration.

  16. Spark Declarative Pipelines on Lakeflow updates are retained for 60 days

    Retention period increased from 30 to 60 days, applying to UI and REST API updates.

  17. SQL alert task for jobs (Beta)

    Evaluates SQL alerts as part of workflows, enabling automated condition checks and notifications.

Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.