Databricks releases, every cloud
- Base environments are now supported on classic compute (Beta)
Manages Python dependencies using Databricks-provided or custom environments.
- Genie Code adds conversation controls
Lets you fork conversations, use /btw for side questions, and edit earlier messages.
- Git Folder Serverless is in Beta
Shares serverless compute and pyproject.toml environment across notebooks and files.
- 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.
- Genie Code for AI Runtime (Public Preview)
Generates distributed training code and resolves environment issues. Requires AI Runtime.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.
- Default Python package repositories are GA for Lakeflow pipelines and classic compute
Supports private or authenticated registries as workspace defaults. Applies to UI and API created classic compute.
- 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.
- Genie Code supports file uploads
Uploads are used as chat context, see Attach files for details.
- Target an Azure capacity reservation group for classic compute
Requires VNet injection, guarantees compute capacity for constrained VM types.
- Genie Code web search is in Beta
Searches the public web for current info, disabled by default.
- Full page Genie Code is now generally available
Runs multiple chats in parallel, with notebooks and files as tabs.
- 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.
- Web terminal on serverless GPU compute (AI Runtime) is in Public Preview
Runs shell commands, monitors GPU usage, and manages files on serverless GPU compute. Requires environment version 5 or above.
- Dedicated group clusters will soon be available by default for workspaces with the compliance security profile enabled Coming soon
Enables shared compute for groups with compliance security profile, supporting Databricks Runtime for ML and RDD APIs.
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
- Agentic code converter is in Beta
Converts T-SQL, Snowflake, and other dialects to ANSI SQL. Requires workspace admin enablement.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Serverless compute is now available in the Azure UK West region
Supports notebooks, jobs, pipelines, and SQL warehouses, with private connectivity.
- 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.
- Schedule deferred policy enforcement for all-purpose compute
Applies on next restart or immediately, and admins can cancel scheduled enforcements.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Instance events and instance pools system tables are now available (Public Preview)
Track instance state transitions and instance pool configurations via system.compute.instance_events and system.compute.instance_pools tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Container Services for standard compute is now available (Beta)
Requires Databricks Runtime 18.3 or later, allows custom Docker images in shared compute.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Compute log delivery to volumes is now GA
Delivers Spark driver, worker, and event logs to Unity Catalog volumes, recommended for log storage.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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.
- Serverless compute is enabled by default
Eligible Google Cloud workspaces are affected, account admins no longer need to manually enable it.
- Flexible node types are now generally available
Falls back to alternative instance types when specified type is unavailable, improving launch reliability.
- Configure compute to use AWS Capacity Blocks
Replaces on-demand instances, requires AWS account setup.
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.