Databricks releases, every cloud
- Databricks Apps is now on by default for workspaces with the compliance security profile enabled
Requires compliance security profile.
- Databricks Apps telemetry is now generally available
Collects traces, logs, and metrics to Unity Catalog tables using OpenTelemetry.
- Configurable retention for system tables is in Beta
Retention period can be set from 30 to 3650 days.
- Genie Code adds conversation controls
Lets you fork conversations, use /btw for side questions, and edit earlier messages.
- Horizontal scaling for Databricks Apps will soon be available for workspaces with the compliance security profile enabled Coming soon
Automatically enabled in October 2026 for compliance workspaces, allowing multiple instances behind a single URL.
- Genie Code scheduled tasks are now generally available
Runs prompts on a recurring schedule, producing a continuable Genie chat with results.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.
- 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.
- User authorization for Databricks Apps will soon be available for workspaces with the compliance security profile enabled Coming soon
Enables apps to act with user identity, enforcing existing permissions. Automatically enabled in late September 2026.
- Genie Code supports file uploads
Uploads are used as chat context, see Attach files for details.
- Alert system tables are in Public Preview
Contains alerts and alert_evaluation_history tables for auditing and monitoring.
- 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.
- 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) - 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.
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- Databricks Apps horizontal scaling (Beta)
Runs across multiple instances behind a single URL, supports zero-downtime deployments.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - App telemetry for Databricks Apps is now in Public Preview
Collects traces, logs, and metrics via OpenTelemetry protocol to Unity Catalog tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Updated UI navigation for Databricks Apps
Streamlines app editing and deployment workflows, accessible from the app switcher.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Git-backed app deployments are now generally available
Deploys apps from Git repositories, allowing Git-only deployments across a workspace.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Apps supports uv for Python dependency management
Uses pyproject.toml and uv.lock files. Replaces prior dependency management methods.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Lakebase databases as Databricks Apps resources
Replaces manual database configuration, requires Lakebase setup.
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.
- Databricks Apps compute sizing support for compliance security profile standards
Available by default for workspaces with compliance security profile enabled, supporting all Databricks compliance standards.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - New resources for Databricks Apps
Adds app-to-app communication and governed table access. Requires Unity Catalog tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Apps telemetry (Beta)
Collects traces, logs, and metrics via OpenTelemetry protocol to Unity Catalog tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Deploy Databricks apps from Git repositories (Beta)
Deploys from any branch, tag, or commit, without uploading files to the workspace.
- Tag Databricks Apps (Public Preview)
Organize and categorize apps, but search is not supported.
- Compute sizing for Databricks Apps is now generally available
Offers Medium (2 vCPUs, 6 GB) and Large (4 vCPUs, 12 GB) sizes.
- New resource types for Databricks Apps
Adds MLflow experiments, vector search indexes, UDFs, and Unity Catalog connections as resources.
- Configure compute size for Databricks Apps (Public Preview)
Controls CPU, memory, and cost based on workload requirements.
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.