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Databricks releases, every cloud

283 releases of 1321

Last updated

  1. REPLACE USING flows for pipelines (Beta)

    Replaces rows matching specified key columns, doesn't require change data capture feed or primary key.

  2. Databricks Runtime maintenance updates (08/04)

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

  3. Google Drive connector (GA)

    Supports fully managed and custom ingestion pipelines with Spark and SQL APIs.

  4. NetSuite connector (GA)

    Ingests ERP and financial data from Oracle NetSuite into Databricks.

  5. PagerDuty connector (Beta)

    Ingests incident, on-call, service, and audit data from PagerDuty into Databricks.

  6. SharePoint connector (GA)

    Includes managed and standard connectors for ingestion pipelines.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Automatic cost attribution for materialized views and streaming tables in Databricks SQL

    Inherits custom tags from enclosing SQL warehouse environment for billing.

  9. OpenAI connector (Beta)

    Uses OpenAI Organization Admin API to ingest admin data, authenticates with OpenAI Admin API key.

  10. Unit testing for pipelines (Beta)

    Validates Python and SQL transformations against mock data. Requires Lakeflow Pipelines Editor.

  11. Databricks Runtime maintenance updates (07/24)

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

  12. C++ SDK for the Zerobus Ingest connector is now available in Beta

    Supports JSON and Protocol Buffers for ingesting into Unity Catalog Delta tables.

  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. Override the REPLACE WHERE predicate for a single refresh

    Adds a WHERE clause to the REFRESH STREAMING TABLE command. Applies to standalone streaming tables with FLOW REPLACE WHERE clause.

  17. Reddit Ads connector is now available in Beta

    Ingests advertising campaign data and performance metrics from Reddit Ads into Databricks.

  18. Warehouse-level statement timeouts (Beta)

    Set via statement_timeout field in Create or Update warehouse APIs.

  19. Anthropic managed ingestion connector (Beta)

    Ingests Compliance API data, including audit activity and Claude chats, into Databricks.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Query-based connectors in Lakeflow Connect will soon be available by default for workspaces with the compliance security profile enabled Coming soon

    Replaces CDC configuration, supports Oracle, Teradata, and others.

  22. Change to default pipeline editor for workspaces with the compliance security profile enabled Coming soon

    Replaces legacy editor, removing it in August.

  23. Databricks SQL alerts are now available by default for workspaces with the compliance security profile enabled

    Supports all compliance security profile standards, monitors data and KPIs via scheduled queries.

  24. Strac connector (Beta)

    Ingests Strac data-security audit events using a Strac API key.

  25. Behavior changes for continuous jobs and pipelines Coming soon

    Configures continuous schedule from pipeline page, wrapping pipeline in a continuous job. Replaces pipeline's built-in continuous setting for new pipelines.

  26. Excel file format support is now available by default

    Supports .xls, .xlsx, and .xlsm files without external libraries.

  27. REPLACE WHERE flows are now generally available

    Replaces full table reprocessing with row-level updates based on a predicate.

  28. Standard performance mode is now supported for materialized view or streaming table refreshes in jobs

    Consumes fewer DBUs when Performance optimized setting is off.

  29. Lakeflow Connect row filtering is now generally available

    Works like a SQL WHERE clause, applies to initial and incremental updates.

  30. Veeva Vault connector (Beta)

    Ingests standard and custom objects from Veeva using OAuth 2.0 M2M auth.

  31. Lakehouse Real-Time (Beta)

    Delivers sub-second SQL read queries against Unity Catalog tables. Built for low-latency workloads.

  32. MATCH_RECOGNIZE is now in Beta

    Requires enabling Match Recognize preview in workspace settings.

  33. Run a subset of job tasks with their dependencies

    Add + modifier to task key to include dependencies, usable via UI, API, or CLI.

  34. Databricks Runtime maintenance updates (06/29)

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

  35. Databricks SQL version 2026.20 is now available in Preview

    Adds IP address functions, NEAREST BY join type, and QUALIFY clause, with fixes for MERGE WITH SCHEMA EVOLUTION.

  36. SQL alert task in Lakeflow Jobs is now generally available

    Evaluates a Databricks SQL alert as part of a Lakeflow Job, returning its state for downstream tasks.

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

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

  38. Metric view parameters are now in Public Preview

    binds values at query time, replacing separate views per variant.

  39. Microsoft Dynamics 365 connector (GA)

    Ingests CRM and ERP data into Databricks using Azure Synapse Link.

  40. Solution Accelerators in Databricks Marketplace are now published as apps or notebooks

    They are now categorized as apps or notebooks, with unchanged content.

  41. Change the owner of standalone pipeline streaming tables and materialized views

    Uses ALTER STREAMING TABLE and ALTER MATERIALIZED VIEW with SET OWNER TO. Applies to standalone pipeline datasets in Databricks SQL.

  42. Standalone pipeline materialized views support expectations

    Validates records in materialized views using CONSTRAINT clause. Replaces manual validation in standalone pipelines.

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.