Databricks releases, every cloud
- Databricks Runtime maintenance updates (09/01)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.
- 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.
- Atlassian Audit Logs connector (Beta)
Ingests Atlassian organization audit log events using an API key.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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 is now available as a Lakeflow Jobs task (Beta)
Runs prompts autonomously, reading upstream outputs and calling tools as needed, returning a conversation link.
- Genie One enhancements
Opens Unity Catalog tables directly, adds visualizations to scheduled task emails, and includes a native macOS desktop app.
- Lakeflow Designer August Release
Adds Unique operator, expands Aggregate, Select, and Python operators, and improves canvas experience. Requires no setup changes.
- Genie Agents enhancements
Adds chat mode, cancel API, and visualization download API.
- Zhipu AI GLM 5.3 Flash is now available on Unity Gateway
Access through the same governed API, with centralized permissions and no code changes required.
- ai_prep_search supports plain text and markdown input (Beta)
Accepts STRING content, no need for ai_parse_document preprocessing.
- Anysphere Audit Logs connector (Beta)
Uses Anysphere Admin API to ingest audit-log events, requires Cursor Admin API key.
- Genie Code is now available in the Lakebase project UI
Lets you run multi-step data and AI tasks with natural language input. Available for all Lakebase projects.
- Postgres minor version updates
Updates to 16.15, 17.11, and 18.6, applied on compute restart.
- Unity Gateway now supports Provisioned Throughput
Adds access controls and usage tracking to Provisioned Throughput models.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Verkada connector (Beta)
Ingests Verkada organization audit logs and access users using a Verkada API key.
- Context attributes in ABAC column mask and row filter policies (Beta)
Targets request context, such as OAuth client ID and on-behalf-of status, in Unity Catalog policies.
- 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.
- Lakebase adds compliance security profile standards on Azure
Supports ISMAP, IRAP, and UK Cyber Essentials Plus on Azure.
- Monitor all AI activity with the unified trace table (Beta)
Captures requests and responses in OpenTelemetry format.
- Upcoming end of life for the Supervisor API Coming soon
Replaced by custom agents on Databricks Apps, ends September 30, 2026.
- Dashboard enhancements and bug fixes
Import from Power BI and Tableau is now generally available. Larger Excel downloads support up to 1 million rows.
- Genie One enhancements
Scheduled tasks maintain consistency by looking up past runs. Genie mobile app allows switching workspaces without signing out.
- Performance mode now applies to materialized view and streaming table refreshes from dbt tasks
Now applies to dbt tasks, with optional Standard mode for lower costs, increasing latency to 4-6 minutes.
- Write data back to Azure Databricks from Google Sheets
Writes to Unity Catalog tables, creating or overwriting them.
- Choose an effort level in Genie Code
Sets balance between response quality and cost, defaults to Auto for highest quality.
- Lakebase available in four new Azure regions
Added to North Central US, France Central, Germany West Central, and East Asia regions.
- 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.
- Identity attributes in ABAC column mask policies (Beta)
Targets users by attributes like department or country, using has_identity_attribute_value and has_identity_attribute_tag_match functions.
- 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.
- Workiva connector (Beta)
Ingests Workiva audit activity, users, and roles using OAuth2 client credentials.
- Block or redact sensitive data in requests and responses
Detects SSNs, credit cards, and phone numbers using regex and checksums. Requires Enhanced Unity Gateway preview.
- Cross-workspace access for serverless (Beta)
Controls serverless network traffic between workspaces with ingress and egress rules.
- Custom URL access to workspaces over inbound Private Link (Beta)
Uses general_access private endpoint, serves workspaces and account-level resources across regions.
- Dashboard enhancements and bug fixes
Removes duplicate subscribers from dashboard schedules, fixes duplicate emails and import issues.
- Expanded networking billing for OpenSharing SecureConnect Coming soon
Adds billing for private and public connectivity, billed to providers or recipients.
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.