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Databricks releases, every cloud

41 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. Environment version 6 is now available

    Supports serverless and standard classic compute.

  3. Private network gateway is in Private Preview

    Connects serverless compute to VPC and on-premises systems through a managed gateway, reusing existing network connectivity configuration.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  4. Cross-workspace access for serverless (Beta)

    Controls serverless network traffic between workspaces with ingress and egress rules.

  5. JAR tasks on serverless compute are now generally available

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

  6. Environment variables for serverless jobs are in Beta

    Requires workspace admin to enable from Previews page.

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

  9. Context-based ingress control for workspaces public access is now generally available

    Uses allow and deny rules to control access based on identities, network sources, and request types.

  10. Scala and Java UDFs in Unity Catalog are now generally available

    Reuses existing JVM logic, offers better performance than Python UDFs.

  11. Allowlist partner platform IPs in context-based ingress control (Beta)

    Supports Power BI, Tableau Cloud, and dbt platform, with automatic IP list updates.

  12. Object metadata column is now in Public Preview

    Exposes object properties like MIME type and tags, available in Databricks Runtime 18.1.

  13. July 6, 2026

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

  14. MySQL integrated CDC pipeline is now in Beta

    Replaces separate ingestion gateway, requires single pipeline update.

  15. Parquet v2 for Delta Lake tables is generally available

    Requires Databricks Runtime 18.1 and above, set delta.parquet.format.version to 2.12.0.

  16. Block specific internet destinations in network policies (Public Preview)

    Blocks destinations regardless of network access mode, enforced through REST API.

  17. AUTO CDC flows for streaming tables in Databricks SQL are generally available

    Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.

  18. Private Link for account-level resources (Beta)

    Connects account console through VPC interface endpoint instead of public internet. Requires configuration.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  19. Auto time-to-live for automatic row deletion is generally available

    Deletes rows from Delta Lake, Iceberg, and streaming tables based on a DATE or TIMESTAMP column.

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  21. Converting a partitioned table to liquid clustering is generally available

    Uses ALTER TABLE command, requires Databricks Runtime 18.1 or above.

  22. Lakehouse Replay (Beta)

    Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.

  23. Inbound Private Link for performance-intensive services is now generally available

    Supports Lakebase Autoscaling and Zerobus Ingest.

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

    Replaces manual override process, defaults to 2.5 hours.

  25. Version 18.2

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

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

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

  27. Connect Databricks to on-premises resources using an SSH reverse tunnel

    Uses proxy VMs in AWS, replacing inbound firewall access.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  28. Spark Declarative Pipelines on Lakeflow updates are retained for 60 days

    Retention period increased from 30 to 60 days, applying to UI and REST API updates.

  29. 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.

  30. Version 18.1

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

  31. SQL alert task for jobs (Beta)

    Evaluates SQL alerts as part of workflows, enabling automated condition checks and notifications.

  32. Inbound Private Link for performance-intensive services (Public Preview)

    Enables private connectivity for Zerobus Ingest and Lakebase Autoscaling.

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

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

  34. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

  35. Serverless outbound IPs available through public JSON endpoint (Public Preview)

    Replaces existing stable IPs, requires Public Preview enrollment.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  36. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

  37. Front-end PrivateLink for performance-intensive services (Beta)

    Supports private connectivity to Zerobus Ingest and Lakebase Autoscaling.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
  38. 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.

  39. Serverless notebook tasks can now use jobs environment

    Replaces inherited serverless environment with configurable job environment.

  40. Serverless compute has been updated to version 17.3

    Updated from version 17.2, requires no configuration changes.

  41. 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.

  42. 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.