Databricks releases, every cloud
- 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.
- ABAC DENY policies are in Beta
Explicitly deny MANAGE ACCESS CONTROL privilege, taking precedence over grants.
- Incremental ingestion for Salesforce formula fields in Lakeflow Connect will soon be generally available Coming soon
Replaces full snapshot default, improving performance and reducing cost.
- Partner-powered AI features can no longer be disabled in the settings UI
Settings API still allows enable or disable until November 1, 2026.
- See which chunks support each ai_search answer (Beta)
Added generate_citations option to show supporting chunks.
- The partner-powered AI features setting will be removed Coming soon
Settings will remain as is, but changes will require contacting the account team after removal.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- time_bucket SQL function aligns timestamps to fixed-width time buckets
Replaces date_trunc for non-calendar units, requires origin and width parameters.
- Zerobus Ingest into default storage is now in Public Preview
Supports tables backed by default storage, requires Lakeflow Connect setup.
- OpenAI GPT-6 Astra is now available on Unity Gateway
Available for enterprise workloads via pay-per-token Foundation Model APIs.
- Compliance security profile will enforce Azure Virtual Network encryption Coming soon
Enforces Azure Virtual Network encryption on workspaces starting February 1, 2027.
- Dashboard enhancements and bug fixes
Embedded dashboards now have filter APIs, and ranked table calculations are imported from Power BI and Tableau.
- Environment version 6 is now available
Supports serverless and standard classic compute.
- Genie Agents enhancements
Adds SQL function descriptions and upgraded chat-mode models.
- Genie One enhancements
Hides Ask Genie button in unsupported embedded dashboards, adds push notifications for scheduled tasks to iOS devices.
- Lakebase now available in Azure Japan East region (japaneast)
Available in japaneast region, requires Postgres database setup.
- Private network gateway is in Beta
Connects serverless compute to VNet and on-premises systems through a managed gateway. Enabled from account console Previews page.
- Share metric views with OpenSharing (Beta)
Allows sharing with users in other metastores or accounts. Requires adding views to a share.
- AI Search supports struct and map columns and filter-only queries
Supports indexing and filtering of struct and map columns, and filter-only queries without vector retrieval.
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- Git Folder Serverless is in Beta
Shares serverless compute and pyproject.toml environment across notebooks and files.
- Google Gemini 3.8 Flash now available as a Databricks-hosted model
Accessible via Foundation Model APIs, requires compliance with applicable terms.
- Anthropic Claude Fable 5.1 now available as a Databricks-hosted model
Accessible via Foundation Model APIs, requires compliance with applicable terms.
- Apache Arrow support for Zerobus Ingest is now generally available
Replaces JSON and Avro formats, requires Lakeflow Connect.
- Automatic change data feed is now generally available
Requires Databricks Runtime 19 or above with row tracking enabled. Makes MERGE and UPDATE operations about 15% faster.
- Databricks Runtime 19: September 1, 2026
Replaces manual change data feed enablement, requires row tracking enabled.
- Databricks Runtime maintenance updates (09/01)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.
- 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.
- HITRUST and IRAP compliance controls are now generally available
Available through compliance security profile, required for HIPAA, HITRUST, and IRAP.
- ABAC GRANT policies are generally available for models and services
Replaces individual privilege grants with governed tag matching.
- Pipeline events system table is in Beta
Records Lakeflow pipeline event logs, capturing lifecycle transitions and errors, for querying and building alerts.
- Restrict service principal OAuth secrets to specific API scopes
Restricts OAuth secrets to specific API scopes like sql or jobs, limiting leaked secret impact.
- Zhipu AI GLM 5.3 now available as a Databricks-hosted model
Supports up to 1,048,576 tokens and 65,536 output tokens. Accessed via Foundation Model APIs.
- Monitor and cap external provider costs
Tracks and caps spend on Amazon Bedrock and Azure AI Foundry models. Requires enabling External Model Spend in Budgets on the account console.
- Unity Catalog Skills (Beta)
Publishes and governs agent skills, controlling access with Unity Catalog permissions.
- AI Functions REST API is now generally available
Includes ai_parse_document, ai_extract, and ai_classify calls.
- Atlassian Audit Logs connector (Beta)
Ingests Atlassian organization audit log events using an API key.
- Dashboard enhancements and bug fixes
Hides pages from published view, adds path map visualization and customizable table column header alignment.
- Genie Agents enhancements
Agent mode APIs are now generally available, allowing programmatic integration. Unity Catalog functions can be attached as agent tools.
- 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.
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.