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Databricks releases, every cloud

37 releases of 1321

Last updated

  1. Standard performance mode is now available for one-time runs in the Jobs API

    Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator.

  2. The Databricks Excel Add-in is now generally available

    Connects Excel to Databricks workspace for querying and data import. Enables live query for pivot tables.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  3. Environment version 6 is now available

    Supports serverless and standard classic compute.

  4. Connect to the Databricks Genie app in Microsoft Teams with your workspace URL (Public Preview)

    Replaces server hostname with workspace URL for connection.

  5. JAR tasks on serverless compute are now generally available

    Requires matching Scala, Java Development Kit, and Databricks Connect versions.

  6. Genie One is now available in Google Sheets

    Queries governed data in natural language, importing results as native rows and columns.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Genie One is now available in Microsoft Excel

    Queries governed data in natural language, importing results as native rows and columns.

  9. Serverless compute access control is now generally available

    Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged.

  10. Agentic code converter is in Beta

    Converts T-SQL, Snowflake, and other dialects to ANSI SQL. Requires workspace admin enablement.

  11. July 6, 2026

    Updates from Databricks Runtime 18, adds Spark Declarative Pipelines and IP address functions.

  12. Write data from Microsoft Excel back to Databricks

    Writes to Unity Catalog tables, overwriting existing ones if needed.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  13. Workspace admin setting for serverless notebook execution timeout

    Replaces manual override process, defaults to 2.5 hours.

  14. Databricks Add-in for Excel support for all compliance security profile standards

    Supports all Databricks compliance security profiles. Requires Public Preview.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  15. View run history for scheduled refreshes in Google Sheets

    Shows Run ID, start time, and success status for each run.

  16. Version 18.2

    Adds CREATE OR REPLACE TEMP TABLE syntax and upgrades Snowflake JDBC driver to 3.28.0.

  17. HIPAA support for the Databricks Add-in for Excel

    Available for workspaces with HIPAA compliance across all supported regions.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  18. Faster package installs with %uv pip in serverless notebooks

    Requires environment version 5 or above. Replaces %pip for faster installs.

  19. Databricks Excel Add-in requires workspace preview enablement

    Enabled from the Previews page by a workspace admin.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
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  21. Workspace base environments are now generally available

    Lets workspace admins create pre-built environments for serverless notebooks, enabled by default in compliance security profile workspaces.

  22. Version 18.1

    Supports DATETIMEOFFSET for Azure Synapse and adds schema evolution with INSERT statements.

  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. Databricks Connector for Google Sheets updates

    Longer query execution timeout and UI improvements added.

  25. Databricks JDBC driver 2.8.0 is available

    Replaces Log4j with SLF4J 2.0.13, enables telemetry by default.

  26. Connect to Databricks from Microsoft Excel (Public Preview)

    Imports data from tables or Metric Views, executes SQL queries in Excel.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  27. Schedule data refreshes in Google Sheets (Public Preview)

    Refreshes occur hourly, daily, or weekly.

  28. Version 18.0

    Upgrades Redshift JDBC driver to 2.1.0.28, adds SQL window functions to metric views.

  29. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

  30. Select tables and create pivot tables in Google Sheets

    Imports data via Databricks Connector, selecting from Catalog Explorer.

  31. New GCP regions support serverless compute

    Available in me-central1 and southamerica-east1 regions.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  32. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

  33. You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs

    Defined with YAML files, they support Python, Python wheel, and notebook tasks.

  34. Login required to download ODBC driver

    Requires login and license acceptance, except for AWS GovCloud which needs account team access.

  35. Serverless workspaces are now available in new GCP regions

    Available in most GCP regions, see documentation for list.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  36. Serverless notebook tasks can now use jobs environment

    Replaces inherited serverless environment with configurable job environment.

  37. Serverless compute has been updated to version 17.3

    Updated from version 17.2, requires no configuration changes.

  38. 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.

  39. 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.

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.