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Databricks releases, every cloud

76 releases of 1331

Last updated

  1. Databricks Runtime 19: September 21, 2026

    It supports truncate and trim_array functions in SQL and DataFrame APIs. Session environment variables are set using spark.pythonWorkerEnv.

  2. Automatic change data feed is now generally available

    Requires Databricks Runtime 19 or above with row tracking enabled. Makes MERGE and UPDATE operations about 15% faster.

  3. Databricks Runtime 19: September 1, 2026

    Auto CDF requires Databricks Runtime 19 or above with row tracking enabled. It makes MERGE and UPDATE operations about 15% faster.

  4. Databricks Runtime maintenance updates (09/01)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  5. Genie Code for AI Runtime (Public Preview)

    Generates distributed training code and resolves environment issues. Requires AI Runtime.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  6. Databricks Runtime 19: August 24, 2026

    Updates Java to Zulu21.52+15-CA and upgrades Jackson libraries to version 2.22.

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

  9. Databricks Runtime 19: August 10, 2026

    It supports collect_union and evaluates HAVING before window functions.

  10. Databricks Runtime maintenance updates (08/04)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  11. Web terminal on serverless GPU compute (AI Runtime) is in Public Preview

    Runs shell commands, monitors GPU usage, and manages files on serverless GPU compute. Requires environment version 5 or above.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  12. Databricks Runtime maintenance updates (07/24)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  13. Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning have transitioned to LTS

    Receives 3 years of stability and security fixes.

  14. Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available

    Powered by Apache Spark 4.2.0.

  15. Databricks Runtime 19: July 23, 2026

    Enables Arrow-optimized Python UDFs by default, changing type-coercion behavior.

  16. MLflow trace storage in Unity Catalog is now generally available

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

  17. Protobuf tensor input for custom model serving endpoints (Public Preview)

    Replaces JSON with serialized KServe v2 ModelInferRequest. Requires endpoints deployed after July 9, 2026.

  18. Custom Docker images for AI Runtime CLI workloads (Beta)

    Allows custom system library versions and complex dependencies, requires setup via Use custom Docker images.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  19. Databricks Runtime maintenance updates (06/29)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

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  21. Databricks Runtime 19 (Beta): June 26, 2026

    Restricts environment variables and Spark configurations in standard access mode. Removes previously allowed settings.

  22. Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are in Beta

    Powered by Apache Spark 4.2.0.

  23. Databricks Runtime 19 (Beta): June 15, 2026

    Replaces JDK 17 with JDK 21, removes 90 Python packages.

  24. AI Runtime CLI (Beta)

    Submits and manages distributed training workloads on serverless GPU compute from a local machine.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  25. Databricks Runtime 18: June 10, 2026

    Adds Spark Declarative Pipelines and IP address functions, requires no changes to existing setups.

  26. Reorganized Spark Declarative Pipelines on Lakeflow documentation

    Conceptual topics are now under Concepts.

  27. Databricks Runtime 18: June 8, 2026

    Adds NEAREST BY SQL join type and DESCRIBE TABLE PARTITION for v2 catalog tables.

  28. Databricks Runtime 18: June 4, 2026

    NATURAL JOIN now matches columns case-insensitively by default. Set spark.sql.legacy.naturalJoinCaseSensitiveColumnMatching to true to restore previous behavior.

  29. Databricks Runtime 18: May 29, 2026

    Treats NaN values as duplicates, preserves Unity Catalog foreign table permissions during metadata refresh.

  30. Databricks Runtime maintenance updates (05/26)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  31. Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning are in Beta

    Powered by Apache Spark 4.1.0, replacing separate release notes for feature versions.

  32. Serve custom LLMs with Custom Model Serving (Beta)

    Supports multimodal models and PEFT recipes, unlike Foundation Model APIs.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  33. Customer-managed keys now support MLflow managed evaluation features

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

  34. Databricks Runtime 18: May 18, 2026

    Preserves table comments by default, auto-casts compatible column types in DataFrame writes.

  35. Databricks Runtime maintenance updates (05/13)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  36. Databricks Runtime 18: May 4, 2026

    Clusters using XPath no longer load external DTDs, and NULL structs are stored as NULL.

  37. Databricks Runtime 18.2 is now GA

    Replaces 7.3 and 7.3 ML.

  38. 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.

  39. Databricks Runtime maintenance updates (04/29)

    Includes bug fixes, security patches, and performance improvements for LTS versions 13.3 to 16.4.

  40. AI Runtime 1xH100 accelerator (Beta)

    Supports 1xH100 accelerator, see Hardware options for details.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  41. Databricks Runtime 18: April 20, 2026

    Replaces EPSG:102100 with ESRI:102100 for GEOMETRY type. Includes OS security updates.

  42. Databricks Runtime maintenance updates (04/20)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.1.

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