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Databricks releases, every cloud

307 releases of 1340

Last updated

  1. New alert editing experience

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

  2. Unified runs list (Public Preview)

    Combines job and pipeline runs into one list.

  3. Jobs can now be triggered on source table update

    Triggers require Databricks Runtime 7.0 or later.

  4. Create backfill job runs

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

  5. The billable usage table now records the performance mode of serverless jobs and pipelines

    Records performance mode in product_features.performance_target column with values PERFORMANCE_OPTIMIZED, STANDARD, or null.

  6. Visualizations fix

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

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Semantic metadata in metric views

    Requires YAML 1.1 and Databricks Runtime 17.3 or higher.

  9. 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.

  10. New requirement to create connections for Salesforce ingestion

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

  11. Databricks SQL version 2025.30 is now available in Preview

    Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.

  12. 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.

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

    Requires file events enabled on external locations.

  14. Google Analytics Raw Data connector GA

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

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

    Supports Python custom data sources and sinks in pipeline definitions.

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

    Supports querying event log for stream progress metrics.

  17. 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.

  18. SQL Server connector supports SCD type 2

    Maintains a history of changes, rather than overwriting outdated records.

  19. OLTP Database tab renamed to Lakebase Postgres in Compute section

    Used to create and manage Lakebase database instances, replacing OLTP Database tab.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Admins can now manage a workspace's serverless base environments (Public Preview)

    Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.

  22. Default warehouse setting is now available in Beta

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

  23. Lakebase synced tables supports syncing Apache Iceberg and foreign tables in Snapshot mode

    Syncs Iceberg and foreign tables in Snapshot mode, requiring a supported Databricks runtime.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  24. Migrate Spark Declarative Pipelines on Lakeflow from legacy publishing mode is now GA

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

  25. Microsoft SQL Server connector GA

    Replaces manual ingestion scripts, requires Lakeflow Connect setup.

  26. Budget policy support for Lakebase database instances and synced tables (Public Preview)

    Tags database instances and synced tables for billing attribution, also supports custom tags for compute usage.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  27. Data type mapping update for Lakebase synced tables

    Newly created synced tables map TIMESTAMP to TIMESTAMP WITH TIMEZONE. Existing tables still use TIMESTAMP WITHOUT TIMEZONE.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  28. Databricks SQL version 2025.25 is rolling out in Current

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

  29. Declarative Automation Bundles support for Lakebase database resources

    Defines Lakebase database catalogs, instances, and synced tables for one-command deployment. Starts instances immediately upon bundle deployment.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  30. Set the run-as user for Spark Declarative Pipelines on Lakeflow

    Replaces user accounts with a service principal for automated workloads.

  31. Databricks SQL version 2025.25 is now available in Preview

    Adds recursive common table expressions and spatial SQL expressions.

  32. 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.

  33. New SQL editor is generally available

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

  34. 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.

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

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

  36. Lakebase Public Preview enabled by default

    No admin enablement required, can be disabled by admins.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  37. ServiceNow connector GA

    Replaces manual API configuration, requires Lakeflow Connect setup.

  38. Databricks Terraform provider supports Lakebase resources

    Creates database catalogs, instances, and synced tables with infrastructure as code.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  39. 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.

  40. Synced tables are now metered and billed

    Metering is automatic, usage is tracked in system.billing.usage.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  41. Jobs & Pipelines list now includes Databricks SQL pipelines

    Includes materialized views and streaming tables created with Databricks SQL.

  42. Inline execution history in SQL editor

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

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