Databricks releases, every cloud
- Base environments are now supported on classic compute (Beta)
Manages Python dependencies using Databricks-provided or custom environments.
- Automatic change data feed will soon be available in all supported regions Coming soon
Requires Databricks Runtime 19 or above with row tracking enabled. Replaces manual change data feed setup on tables.
- 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.
- Genie Code adds conversation controls
Lets you fork conversations, use /btw for side questions, and edit earlier messages.
- Genie Code scheduled tasks are now generally available
Runs prompts on a recurring schedule, producing a continuable Genie chat with results.
- 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.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Genie Code for AI Runtime (Public Preview)
Generates distributed training code and resolves environment issues. Requires AI Runtime.
- 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.
- Choose an effort level in Genie Code
Sets balance between response quality and cost, defaults to Auto for highest quality.
- Manage project environments with %uv commands
Requires environment version 5 or above. Supports serverless notebooks.
- 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.
- Genie Code supports file uploads
Uploads are used as chat context, see Attach files for details.
- Genie Code web search is in Beta
Searches the public web for current info, disabled by default.
- Search and replace text across files
Works in Databricks Git folders or Declarative Automation Bundles projects from the Search pane.
- Full page Genie Code is now generally available
Runs multiple chats in parallel, with notebooks and files as tabs.
- Organize your work with spaces
Preserves open tabs for specific folders or projects.
- 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.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Genie Code scheduled tasks are in Beta
Runs prompts on a recurring schedule, producing a continuable Genie chat with results.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Transactions are now generally available
Require catalog commits enabled on participating tables. Use BEGIN ATOMIC or BEGIN TRANSACTION syntax.
- Variant and Variant shredding are now generally available
Requires Databricks Runtime 17.3, recommended 18.1 for optimal performance.
- Variant will soon be available by default for workspaces with the compliance security profile enabled Coming soon
Ingests semi-structured data from sources like Kinesis and REST APIs. Available in July 2026.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Mention Genie Code in notebook comments
Triggers AI help inline by typing @ and selecting Genie Code.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Automatic upgrades will roll out more features to existing tables Coming soon
Adds row tracking and Checkpoint V2 to existing tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Genie Code system table now counts only user-submitted interactions
Excludes background and automated requests, such as autocomplete and quick-fix suggestions.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Genie Code now uses models served through OpenAI on Databricks
Adds OpenAI to existing Azure OpenAI and Anthropic models.
- Catalog commits are now generally available
Enables multi-statement transactions on Unity Catalog managed Delta tables, supported by products like MLflow and Delta Sharing.
- Faster package installs with %uv pip in serverless notebooks
Requires environment version 5 or above. Replaces %pip for faster installs.
- 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.
- 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.
- Multi-table transactions are now in Public Preview
Requires catalog commits on participating tables, supports Unity Catalog managed Delta tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Notebook tagging (Public Preview)
Organizes notebooks for easier management, supports governed tags for trust levels or lifecycle status.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Paste images into notebooks
Copies images from local file system using ⌘ + V or Ctrl + V.
- View and restore your recent workspace tab sessions
Restores up to 10 recent sessions.
- View latest scheduled notebook job results
Shows latest scheduled run in notebooks and dashboards, can update notebook with latest results.
- Real-time collaboration in notebook cells, files, and SQL editor
Multiple users can edit the same cell simultaneously, viewing each other's edits.
- Use Git CLI commands in Git folders (Beta)
Runs standard Git commands in Databricks web terminal. Requires Git folder setup.
- Zstd is now the default compression for new managed tables
Replaces Snappy compression, applies to Databricks Runtime 16.0 and above.
- 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.
- 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.
- 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.
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.