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Databricks releases, every cloud

222 releases of 1321

Last updated

  1. Lakeflow Declarative Pipelines has been renamed to Lakeflow Spark Declarative Pipelines

    Replaces Lakeflow Declarative Pipelines, see Spark Declarative Pipelines for details.

  2. SQL Editor visualization fix

    Tooltips now display in front of the legend.

  3. JAR tasks are now supported on serverless compute

    Run JAR jobs without a cluster.

  4. Salesforce ingestion connector supports history tracking (SCD type 2)

    Enables history tracking, overwriting default SCD type 1 behavior.

  5. Databricks SQL version 2025.35 is now available in Preview

    Adds EXECUTE IMMEDIATE constant expressions and LIMIT ALL for recursive CTEs.

  6. New alert editing experience

    Replaces old editor with a multi-tab editor for unified workflow.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Unified runs list (Public Preview)

    Combines job and pipeline runs into one list.

  9. Jobs can now be triggered on source table update

    Triggers require Databricks Runtime 7.0 or later.

  10. Create backfill job runs

    Triggers job runs to load past data, useful for repairing processing failures.

  11. Visualizations fix

    Fixes legend selection for charts with aliased series names in SQL editor and notebooks.

  12. Semantic metadata in metric views

    Requires YAML 1.1 and Databricks Runtime 17.3 or higher.

  13. Lakeflow Pipelines Editor is now in public preview

    Replaces multi-file editor, edits pipelines as files in asset browser, defaults to Python and SQL code.

  14. New requirement to create connections for Salesforce ingestion

    Requires Databricks connected app installed. Applies to new connections only.

  15. Databricks SQL version 2025.30 is now available in Preview

    Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.

  16. Migrate Spark Declarative Pipelines on Lakeflow pipelines from legacy publishing mode is generally available

    Replaces legacy mode that only published to a single catalog and schema. Now supports multiple catalogs and schemas.

  17. Discover files in Auto Loader efficiently using file events without enrollment (Public Preview)

    Requires file events enabled on external locations.

  18. Google Analytics Raw Data connector GA

    Enables ingestion of raw Google Analytics data into Databricks, requires Google Analytics 4 and Google BigQuery setup.

  19. Python custom data sources can be used with Spark Declarative Pipelines on Lakeflow

    Supports Python custom data sources and sinks in pipeline definitions.

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  21. Spark Declarative Pipelines on Lakeflow now supports stream progress metrics in Public Preview

    Supports querying event log for stream progress metrics.

  22. Migrate Spark Declarative Pipelines on Lakeflow from legacy publishing mode is rolled back to Public Preview

    Reverts migration feature to Public Preview due to issues. Requires re-enabling default publishing mode in pipelines.

  23. SQL Server connector supports SCD type 2

    Maintains a history of changes, rather than overwriting outdated records.

  24. Default warehouse setting is now available in Beta

    Applied across SQL editor, AI/BI dashboards, and other tools, with optional user override.

  25. Migrate Spark Declarative Pipelines on Lakeflow from legacy publishing mode is now GA

    Replaces legacy single-catalog publishing with multi-catalog support.

  26. Microsoft SQL Server connector GA

    Replaces manual ingestion scripts, requires Lakeflow Connect setup.

  27. Databricks SQL version 2025.25 is rolling out in Current

    Rolls out from August 20th to August 28th, 2025.

  28. Set the run-as user for Spark Declarative Pipelines on Lakeflow

    Replaces user accounts with a service principal for automated workloads.

  29. Databricks SQL version 2025.25 is now available in Preview

    Adds recursive common table expressions and spatial SQL expressions.

  30. Fixed timeout handling for materialized views and streaming tables

    New views and tables apply warehouse timeout, existing ones require CREATE OR REFRESH. Default timeout is 2 days.

  31. New SQL editor is generally available

    Provides a unified authoring environment with features like real-time collaboration and enhanced Databricks Assistant integration.

  32. Spark Declarative Pipelines on Lakeflow template in bundles in the workspace (Public Preview)

    Creates ETL pipelines in workspace bundles using Lakeflow template. Requires New ETL pipeline setup.

  33. Jobs in continuous mode can now have task-level retries for failed tasks

    Task-level retries replace job-level retries, require continuous mode.

  34. ServiceNow connector GA

    Replaces manual API configuration, requires Lakeflow Connect setup.

  35. Preset date ranges for parameters in the SQL editor

    Includes options like This week, Last 30 days, and Last year for timestamp and date parameters.

  36. Jobs & Pipelines list now includes Databricks SQL pipelines

    Includes materialized views and streaming tables created with Databricks SQL.

  37. Inline execution history in SQL editor

    Shows past results without re-executing queries, links to past query profiles.

  38. Moving tables between Spark Declarative Pipelines on Lakeflow pipelines is now GA

    Supports moving tables in Unity Catalog ETL pipelines.

  39. Databricks SQL version 2025.20 is now available in Current

    Rolls out in stages to the Current channel, see 2025.20 features for details.

  40. SQL editor updates

    Supports date-range and multi-select parameters, and rearranges the run button and catalog picker to the header.

  41. Git support for alerts

    Tracks alert changes, requires placing alerts in a Databricks Git folder. Newly cloned alerts are paused.

  42. Parent tasks (Run job and For each) now have a separate limit

    Separate limit doesn't count against overall limit, see Resource limits.

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