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Databricks releases, every cloud

35 releases of 1321

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  1. Data Classification now scans Unity Catalog views (Beta)

    Scans Unity Catalog views in addition to tables, using the same detection engine, and is currently in Beta.

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

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

  3. Environment version 6 is now available

    Supports serverless and standard classic compute.

  4. Custom trace views in the MLflow trace explorer are in Beta

    Genie generates views based on plain language descriptions, surfacing relevant trace fields and metrics.

  5. JAR tasks on serverless compute are now generally available

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

  6. 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.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. MLflow trace storage in Unity Catalog is now generally available

    Stores traces in OpenTelemetry format with unlimited storage and SQL query access.

  9. Data Classification is now available by default for additional compliance standards

    Requires compliance security profile with C5, TISAX, or IRAP controls.

  10. July 6, 2026

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

  11. Data Classification is now available by default for some workspaces with the compliance security profile enabled

    Requires compliance security profile and specific controls like HIPAA or HITRUST.

  12. Workspace admin setting for serverless notebook execution timeout

    Replaces manual override process, defaults to 2.5 hours.

  13. Customer-managed keys now support MLflow managed evaluation features

    Supports MLflow 3 scorers and requires non-CMK encrypted catalog.

  14. Version 18.2

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

  15. Faster package installs with %uv pip in serverless notebooks

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

  16. MLflow trace storage in Unity Catalog is now in Public Preview

    Stores OpenTelemetry traces, governed by Unity Catalog permissions, queryable from Databricks SQL or MLflow Python SDK.

  17. 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.

  18. Databricks Data Classification is now GA

    Automatically classifies and tags sensitive data in Unity Catalog using AI.

  19. Version 18.1

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

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  21. Serverless compute now available for IRAP and Canada Protected B workloads on Azure Databricks

    Requires environment version 5 to be enabled.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  22. Version 18.0

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

  23. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

  24. Serverless compute now available for compliance standards

    Adds HITRUST, PCI-DSS, TISAX, and UK Cyber Essentials Plus support.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  25. 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)
  26. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

  27. Store and query MLflow traces in Unity Catalog (Beta)

    Stores MLflow traces in Delta tables for long-term retention and analysis using OpenTelemetry format.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  28. 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.

  29. Serverless compute is now available in Azure China North 3

    Available for notebooks, jobs, pipelines, and SQL warehouses.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  30. 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)
  31. Serverless compute is now available in new regions

    Added to Australia Southeast, Canada Central, Mexico Central, Norway East, and South Africa North regions.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  32. Serverless notebook tasks can now use jobs environment

    Replaces inherited serverless environment with configurable job environment.

  33. Serverless compute has been updated to version 17.3

    Updated from version 17.2, requires no configuration changes.

  34. Data Classification (Public Preview)

    Supports all catalog types, consolidates results into a system table.

  35. 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.

  36. Data classification system table Beta

    Captures sensitive data detections at column level across enabled catalogs.

  37. 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.

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