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Databricks releases, every cloud

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47 releases of 1321

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  1. Databricks Apps is now on by default for workspaces with the compliance security profile enabled

    Requires compliance security profile.

    #Databricks Apps#Security
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Databricks Apps telemetry is now generally available

    Collects traces, logs, and metrics to Unity Catalog tables using OpenTelemetry.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. Standard performance mode is now available for one-time runs in the Jobs API

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

    #Lakeflow#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  4. Horizontal scaling for Databricks Apps will soon be available for workspaces with the compliance security profile enabled Coming soon

    Automatically enabled in October 2026 for compliance workspaces, allowing multiple instances behind a single URL.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  5. Environment version 6 is now available

    Supports serverless and standard classic compute.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  6. User authorization for Databricks Apps will soon be available for workspaces with the compliance security profile enabled Coming soon

    Enables apps to act with user identity, enforcing existing permissions. Automatically enabled in late September 2026.

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

    #Gen AI#MLflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  9. JAR tasks on serverless compute are now generally available

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

    #Lakeflow#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  10. 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.

    #Compute#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  11. MLflow trace storage in Unity Catalog is now generally available

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

    #MLflow#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  12. July 6, 2026

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

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  13. Databricks Apps horizontal scaling (Beta)

    Runs across multiple instances behind a single URL, supports zero-downtime deployments.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  14. Workspace admin setting for serverless notebook execution timeout

    Replaces manual override process, defaults to 2.5 hours.

    #Admin#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  15. Customer-managed keys now support MLflow managed evaluation features

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

    #MLflow#Security
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  16. Version 18.2

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

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  17. App telemetry for Databricks Apps is now in Public Preview

    Collects traces, logs, and metrics via OpenTelemetry protocol to Unity Catalog tables.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, 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.

    #Notebooks#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  19. 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.

    #MLflow#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  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.

    #Admin#Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  22. Version 18.1

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

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  23. Updated UI navigation for Databricks Apps

    Streamlines app editing and deployment workflows, accessible from the app switcher.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  24. Git-backed app deployments are now generally available

    Deploys apps from Git repositories, allowing Git-only deployments across a workspace.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  25. Databricks Apps supports uv for Python dependency management

    Uses pyproject.toml and uv.lock files. Replaces prior dependency management methods.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  26. Lakebase databases as Databricks Apps resources

    Replaces manual database configuration, requires Lakebase setup.

    #Databricks Apps#Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  27. Databricks Apps compute sizing support for compliance security profile standards

    Available by default for workspaces with compliance security profile enabled, supporting all Databricks compliance standards.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  28. New resources for Databricks Apps

    Adds app-to-app communication and governed table access. Requires Unity Catalog tables.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  29. Databricks Apps telemetry (Beta)

    Collects traces, logs, and metrics via OpenTelemetry protocol to Unity Catalog tables.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  30. Serverless compute now available for IRAP and Canada Protected B workloads on Azure Databricks

    Requires environment version 5 to be enabled.

    #Security#Serverless
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  31. Version 18.0

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

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  32. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  33. Serverless compute now available for compliance standards

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

    #Serverless
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  34. Deploy Databricks apps from Git repositories (Beta)

    Deploys from any branch, tag, or commit, without uploading files to the workspace.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  35. New GCP regions support serverless compute

    Available in me-central1 and southamerica-east1 regions.

    #Serverless
    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  36. Tag Databricks Apps (Public Preview)

    Organize and categorize apps, but search is not supported.

    #Databricks Apps#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  37. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

    #Serverless#Workspace
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  38. Compute sizing for Databricks Apps is now generally available

    Offers Medium (2 vCPUs, 6 GB) and Large (4 vCPUs, 12 GB) sizes.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  39. Store and query MLflow traces in Unity Catalog (Beta)

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

    #Gen AI#MLflow
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  40. 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.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  41. New resource types for Databricks Apps

    Adds MLflow experiments, vector search indexes, UDFs, and Unity Catalog connections as resources.

    #Databricks Apps
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  42. Serverless compute is now available in Azure China North 3

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

    #Serverless
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)

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.