Skip to content

Databricks releases, every cloud

176 releases of 1331

Last updated

  1. Change owner for materialized views or streaming tables defined in Databricks SQL

    Done through Catalog Explorer, replacing previous methods.

  2. Customizable SharePoint connector (Beta)

    Ingests structured, semi-structured, and unstructured files into Delta tables with customizable schema inference and parsing options.

  3. Discover files in Auto Loader efficiently using file events

    Requires file events enabled on external locations. Replaces directory listing for efficiency.

  4. Jira connector (Beta)

    Ingests Jira issues, comments, and attachments metadata into Databricks.

  5. Configure full refresh behavior for managed database connectors

    Applies to Lakeflow Connect managed database connectors, allowing scheduled full refresh snapshots and automatic recovery from unsupported schema changes.

  6. Databricks SQL version 2025.35 is rolling out in Current

    Includes new features, see documentation for details.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Jobs can now be triggered on source view update

    Supports views referencing supported table types, see documentation for specifics.

  9. Improved full refresh flow for managed database connectors

    Reduces downtime by delaying table refresh until snapshot completion, minimizing PENDING_RESET errors.

  10. Lakeflow Declarative Pipelines has been renamed to Lakeflow Spark Declarative Pipelines

    Replaces Lakeflow Declarative Pipelines, see Spark Declarative Pipelines for details.

  11. SQL Editor visualization fix

    Tooltips now display in front of the legend.

  12. JAR tasks are now supported on serverless compute

    Run JAR jobs without a cluster.

  13. Salesforce ingestion connector supports history tracking (SCD type 2)

    Enables history tracking, overwriting default SCD type 1 behavior.

  14. Databricks SQL version 2025.35 is now available in Preview

    Adds EXECUTE IMMEDIATE constant expressions and LIMIT ALL for recursive CTEs.

  15. New alert editing experience

    Replaces old editor with a multi-tab editor for unified workflow.

  16. Jobs can now be triggered on source table update

    Triggers require Databricks Runtime 7.0 or later.

  17. Create backfill job runs

    Triggers job runs to load past data, useful for repairing processing failures.

  18. Visualizations fix

    Fixes legend selection for charts with aliased series names in SQL editor and notebooks.

  19. Semantic metadata in metric views

    Requires YAML 1.1 and Databricks Runtime 17.3 or higher.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. New requirement to create connections for Salesforce ingestion

    Requires Databricks connected app installed. Applies to new connections only.

  22. Databricks SQL version 2025.30 is now available in Preview

    Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.

  23. Google Analytics Raw Data connector GA

    Enables ingestion of raw Google Analytics data into Databricks, requires Google Analytics 4 and Google BigQuery setup.

  24. Python custom data sources can be used with Spark Declarative Pipelines on Lakeflow

    Supports Python custom data sources and sinks in pipeline definitions.

  25. SQL Server connector supports SCD type 2

    Maintains a history of changes, rather than overwriting outdated records.

  26. Microsoft SQL Server connector GA

    Replaces manual ingestion scripts, requires Lakeflow Connect setup.

  27. Databricks SQL version 2025.25 is rolling out in Current

    Rolls out from August 20th to August 28th, 2025.

  28. Set the run-as user for Spark Declarative Pipelines on Lakeflow

    Replaces user accounts with a service principal for automated workloads.

  29. Databricks SQL version 2025.25 is now available in Preview

    Adds recursive common table expressions and spatial SQL expressions.

  30. Fixed timeout handling for materialized views and streaming tables

    New views and tables apply warehouse timeout, existing ones require CREATE OR REFRESH. Default timeout is 2 days.

  31. Jobs in continuous mode can now have task-level retries for failed tasks

    Task-level retries replace job-level retries, require continuous mode.

  32. ServiceNow connector GA

    Replaces manual API configuration, requires Lakeflow Connect setup.

  33. Preset date ranges for parameters in the SQL editor

    Includes options like This week, Last 30 days, and Last year for timestamp and date parameters.

  34. Jobs & Pipelines list now includes Databricks SQL pipelines

    Includes materialized views and streaming tables created with Databricks SQL.

  35. Inline execution history in SQL editor

    Shows past results without re-executing queries, links to past query profiles.

  36. Databricks SQL version 2025.20 is now available in Current

    Rolls out in stages to the Current channel, see 2025.20 features for details.

  37. SQL editor updates

    Supports date-range and multi-select parameters, and rearranges the run button and catalog picker to the header.

  38. Git support for alerts

    Tracks alert changes, requires placing alerts in a Databricks Git folder. Newly cloned alerts are paused.

  39. Parent tasks (Run job and For each) now have a separate limit

    Separate limit doesn't count against overall limit, see Resource limits.

  40. Databricks SQL version 2025.20 is now available in Preview

    Includes new features and behavioral changes in Preview channel.

  41. Databricks SQL Serverless engine upgrades

    Upgrades bring up to 25% lower latency and add Predictive Query Execution and Photon vectorized shuffle.

  42. User interface updates

    Emits listHistoryQueries and getHistoryQuery events on Query History page and query profile opens.

Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.

We measure how the site is used. PostHog and Google Analytics, set to measurement only with advertising features off. We do not sell your data or share it for advertising, and you can turn this off. What this stores.