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Databricks releases, every cloud

42 releases of 1321

Last updated

  1. Base environments are now supported on classic compute (Beta)

    Manages Python dependencies using Databricks-provided or custom environments.

  2. Session restore for serverless jobs is in Public Preview

    Restores Python variables and Spark session into a new notebook for debugging or exploration, requires eligible serverless compute job runs.

  3. Configurable retention for system tables is in Beta

    Retention period can be set from 30 to 3650 days.

  4. Genie Code adds conversation controls

    Lets you fork conversations, use /btw for side questions, and edit earlier messages.

  5. Genie Code scheduled tasks are now generally available

    Runs prompts on a recurring schedule, producing a continuable Genie chat with results.

  6. Genie Code scheduled tasks will soon be available by default for workspaces with the compliance security profile enabled Coming soon

    Replaces manual runs of recurring analysis tasks. Available in October 2026.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. 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)
  9. Genie Code is now available as a Lakeflow Jobs task (Beta)

    Runs prompts autonomously, reading upstream outputs and calling tools as needed, returning a conversation link.

  10. Choose an effort level in Genie Code

    Sets balance between response quality and cost, defaults to Auto for highest quality.

  11. Manage project environments with %uv commands

    Requires environment version 5 or above. Supports serverless notebooks.

  12. Session restore for serverless jobs is now in Beta

    Restores Python variables and Spark session into a new notebook. Captures state snapshots on failure or long runs.

  13. Genie Code supports file uploads

    Uploads are used as chat context, see Attach files for details.

  14. Alert system tables are in Public Preview

    Contains alerts and alert_evaluation_history tables for auditing and monitoring.

  15. Genie Code web search is in Beta

    Searches the public web for current info, disabled by default.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  16. Search and replace text across files

    Works in Databricks Git folders or Declarative Automation Bundles projects from the Search pane.

  17. Full page Genie Code is now generally available

    Runs multiple chats in parallel, with notebooks and files as tabs.

  18. Organize your work with spaces

    Preserves open tabs for specific folders or projects.

  19. Git CLI commands in Git folders are now in Public Preview

    Enables standard Git commands like git stash and rebase in Databricks terminals. Requires workspace eligibility.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Genie Code scheduled tasks are in Beta

    Runs prompts on a recurring schedule, producing a continuable Genie chat with results.

  22. Mention Genie Code in notebook comments

    Triggers AI help inline by typing @ and selecting Genie Code.

  23. Genie Code system table now counts only user-submitted interactions

    Excludes background and automated requests, such as autocomplete and quick-fix suggestions.

  24. Genie Code now uses models served through OpenAI on Databricks

    Adds OpenAI to existing Azure OpenAI and Anthropic models.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  25. Faster package installs with %uv pip in serverless notebooks

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

  26. Native data profiling for notebook results tables

    View column statistics by selecting headers and clicking Open selection details. Available in notebooks and new SQL editor.

  27. Some partner-powered AI features are now available in-country for Brazil, Canada, Japan, Korea, Singapore, and the UK

    Requires Enforce data processing within workspace Geography enabled. Data does not leave the country.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  28. Notebook tagging (Public Preview)

    Organizes notebooks for easier management, supports governed tags for trust levels or lifecycle status.

  29. Paste images into notebooks

    Copies images from local file system using ⌘ + V or Ctrl + V.

  30. View and restore your recent workspace tab sessions

    Restores up to 10 recent sessions.

  31. View latest scheduled notebook job results

    Shows latest scheduled run in notebooks and dashboards, can update notebook with latest results.

  32. Real-time collaboration in notebook cells, files, and SQL editor

    Multiple users can edit the same cell simultaneously, viewing each other's edits.

  33. Use Git CLI commands in Git folders (Beta)

    Runs standard Git commands in Databricks web terminal. Requires Git folder setup.

  34. Databricks Assistant Agent mode: Data Science Agent is in Beta

    Orchestrates multi-step workflows from a single prompt, building entire notebooks for tasks like EDA and machine learning.

  35. 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.

  36. Track and navigate notebook runs with the new cell execution minimap

    Appears in the right margin, shows cell execution states, and allows clicking to jump to a cell.

  37. Enhanced autocomplete for complex data types in notebooks

    Supports structs, maps, and arrays in SQL cells, and provides column recommendations for CTEs using SELECT *.

  38. Serverless compute runtime updated to 17.1

    corresponds to Databricks Runtime 17.1, see release notes for details.

  39. Databricks Assistant: User and workspace instructions now available

    Custom instructions can be added by users or admins, applying to all Assistant experiences.

  40. Edit mode in Assistant does multi-cell code refactoring and more

    Performs reasoning and editing across multiple cells without manual intervention.

  41. Serverless compute runtime updated to 17.0

    corresponds to Databricks Runtime 17.0, see release notes for details

  42. Improvements to the notebook editing experience

    Adds split view and native find-and-replace tool.

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.