Databricks Release Notes
602 release notes curated from 12 sources by the Releasebot Team. Last updated: Aug 27, 2026
- Aug 26, 2026
- Date parsed from source:Aug 26, 2026
- First seen by Releasebot:Aug 27, 2026
Query text is now masked by default in system tables and APIs
Databricks masks query text in history and audit APIs to protect sensitive SQL details.
Because SQL statements can contain sensitive information, Databricks now masks query text in the following places:
statement_textinsystem.query.historyreturns <REDACTED>.query_textin the Query History API and the List Queries API returns <REDACTED>.- Keys in
request_paramsinsystem.access.auditthat contain SQL definitions are omitted.
Account admins and members of the
Original sourcedatabricks_pii_accessaccount group can read unmasked query text. To grant access, an account admin creates the group and adds members. See Access masked statement text and Access masked request parameters. - Aug 26, 2026
- Date parsed from source:Aug 26, 2026
- First seen by Releasebot:Aug 27, 2026
xAI Grok 4.6 now available as a Databricks-hosted model
Databricks now supports xAI Grok 4.6 in Model Serving with a 500,000-token context window and configurable reasoning.
Model Serving now supports xAI Grok 4.6 as a Databricks-hosted model. This reasoning model has a 500,000-token context window and supports configurable reasoning effort and function calling for coding, agentic workflows, and other complex tasks. You can access this model using Foundation Model APIs.
Customers are responsible for ensuring their compliance with applicable terms.
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- Aug 25, 2026
- Date parsed from source:Aug 25, 2026
- First seen by Releasebot:Aug 27, 2026
LTAP Direct Writes accelerates synced table loads (Beta)
Databricks adds LTAP Direct Writes to speed synced table loads into Lakebase and full refreshes.
LTAP Direct Writes speeds up how synced tables load into Lakebase. When you create a synced table, Lakebase loads a full copy of your Unity Catalog data into your Postgres branch. LTAP Direct Writes accelerates that initial load and full refreshes by writing directly to the storage layer instead of through your compute endpoint, so large loads finish faster without competing with your queries. It requires a project running Postgres 17, and a workspace admin enables it from the Previews page. See Serve lakehouse data with synced tables.
Original source - Aug 25, 2026
- Date parsed from source:Aug 25, 2026
- First seen by Releasebot:Aug 27, 2026
ai_prep_search supports plain text and markdown input (Beta)
Databricks expands ai_prep_search to accept plain text and markdown strings for AI Search indexing and RAG pipelines.
The ai_prep_search() SQL function now accepts plain text and markdown STRING content in addition to the structured VARIANT output of ai_parse_document. You can now chunk and prepare text that you already have as a string for AI Search indexing and retrieval-augmented generation (RAG) pipelines, without first running it through document parsing.
See ai_prep_search function.
Original source - Aug 25, 2026
- Date parsed from source:Aug 25, 2026
- First seen by Releasebot:Aug 26, 2026
The Genie One desktop app for macOS is in Beta
Databricks launches the Genie One desktop beta for macOS, bringing natural-language data chat, threads, documents, and agents to the desktop.
The Genie One desktop app is now in Beta. The native macOS app opens Genie One on your desktop instead of in a browser tab, so business users can chat with data in natural language, work with their threads and documents, and use Genie Agents without a browser. See Use Genie One on desktop.
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- Aug 24, 2026
- Date parsed from source:Aug 24, 2026
- First seen by Releasebot:Aug 27, 2026
Genie Code is now available in the Lakebase project UI
Databricks adds Genie Code to Lakebase projects for scoped natural-language data and AI tasks.
A new Genie entry in the Lakebase project sidebar opens Genie Code, the agentic Databricks assistant, scoped to your Lakebase project. Ask it in natural language to run multi-step data and AI tasks: explore your databases and tables, investigate and debug issues, and create and populate tables. It's the same Genie Code you use elsewhere in Databricks, here working on your Lakebase project, and it's now available for all Lakebase projects. See Genie Code.
Original source - Aug 24, 2026
- Date parsed from source:Aug 24, 2026
- First seen by Releasebot:Aug 26, 2026
Secrets in Unity Catalog will soon be available by default for workspaces with the compliance security profile enabled
Databricks adds Secrets in Unity Catalog by default for compliant workspaces, with governed secret storage and access.
Secrets in Unity Catalog will be available by default for workspaces with the compliance security profile enabled in late September 2026.
Store, govern, and access secrets as securable objects in Unity Catalog. A Unity Catalog secret uses the three-level namespace (catalog.schema.secret) and is governed by Unity Catalog privileges, so you can apply the same access controls and auditing that you use for other data assets.
See Secrets in Unity Catalog.
Original source - Aug 24, 2026
- Date parsed from source:Aug 24, 2026
- First seen by Releasebot:Aug 25, 2026
Postgres minor version updates
Databricks updates Lakebase with supported Postgres versions 16.15, 17.11, and 18.6 for the latest fixes and security patches.
Lakebase updated its supported Postgres versions to 16.15, 17.11, and 18.6.
These minor releases bring you the latest upstream Postgres fixes and security patches.
When a new minor version is available, Lakebase applies it the next time your compute restarts.
See Manage updates.
Original source - Aug 24, 2026
- Date parsed from source:Aug 24, 2026
- First seen by Releasebot:Aug 25, 2026
Connect to the Databricks Genie app in Microsoft Teams with your workspace URL (Public Preview)
Databricks now supports workspace URLs for Genie app sign-in in Microsoft Teams.
When you sign in to the Databricks Genie app in Microsoft Teams, you can now enter your workspace URL instead of a server hostname to connect to your Databricks account. See Databricks Genie app in Microsoft Teams.
Original source - Aug 24, 2026
- Date parsed from source:Aug 24, 2026
- First seen by Releasebot:Aug 25, 2026
The INSERT, UPDATE, and DELETE privileges are in Beta
Databricks adds Beta INSERT, UPDATE, and DELETE privileges in Unity Catalog for finer-grained table write access.
The INSERT, UPDATE, and DELETE privileges are in Beta in Unity Catalog. These privileges are least-privilege alternatives to MODIFY that let you grant write access to a table's data without also granting the ability to change its schema or other metadata.
The privileges require Databricks Runtime 18.1 or above.
For details, see Fine-grained DML privileges.
Original source - Aug 21, 2026
- Date parsed from source:Aug 21, 2026
- First seen by Releasebot:Aug 25, 2026
Upcoming end of life for the Supervisor API
Databricks announces the Supervisor API Beta end of life and recommends migrating to custom agents on Databricks Apps.
The Supervisor API (Beta) reaches end of life on September 30, 2026. After that date, the API is no longer available.
Databricks recommends migrating to custom agents on Databricks Apps.
See Supervisor API (Beta) (deprecated).
Original source - Aug 21, 2026
- Date parsed from source:Aug 21, 2026
- First seen by Releasebot:Aug 22, 2026
Consumer access to query Unity AI Gateway services will become generally available
Databricks says consumer access users can currently query Unity AI Gateway model services and model provider services through an opt-in public preview, with general availability planned later and guidance to set budgets and rate limits first.
Querying Unity AI Gateway model services and model provider services with Consumer access is currently opt-in through the Consumer access to Unity AI Gateway Public Preview. When this capability becomes generally available, consumer access users will be able to query these services without the preview enabled. This can increase model traffic from consumer users, including traffic to model provider services that route to external providers.
Before this change, account admins should set budgets and rate limits, or disable direct model access, for consumer access users so these controls are in effect when the capability becomes generally available. See Manage budgets for Unity AI Gateway, Apply rate limits to model and MCP services, and Manage entitlements.
Original source - Aug 21, 2026
- Date parsed from source:Aug 21, 2026
- First seen by Releasebot:Aug 22, 2026
Default Python package repositories are GA for Lakeflow pipelines and classic compute
Databricks now supports default Python package repositories for Lakeflow pipelines and classic compute with admin-set private registries.
Configuring default Python package repositories is now generally available for Lakeflow pipelines and for classic compute created via the UI and API.
Workspace admins can set private or authenticated registries as the workspace default for these workloads.
See Configure default package repositories.
Original source - Aug 21, 2026
- Date parsed from source:Aug 21, 2026
- First seen by Releasebot:Aug 22, 2026
Context attributes in ABAC column mask and row filter policies (Beta)
Databricks adds beta context attributes for Unity Catalog ABAC policies, letting teams target request context like OAuth application and on-behalf-of access in row filters and column masks to better control data access for agents and users.
Context attributes for attribute-based access control (ABAC) policies are in Beta. You can now write Unity Catalog ABAC policy conditions that target the context of a request, such as which OAuth application is calling (request.client_id) and whether the request runs on behalf of a user (request.is_on_behalf_of). The has_context_attribute and has_context_attribute_value functions are supported in the WHEN clause of row filter and column mask policies.
A common use is to restrict the data an agent reads on a user's behalf when it connects through a registered OAuth application, while the user can still read the full data when they query it directly in the workspace.
See Context attribute functions (Beta).
Original source - Aug 20, 2026
- Date parsed from source:Aug 20, 2026
- First seen by Releasebot:Aug 22, 2026
Dashboard enhancements and bug fixes
Databricks expands AI/BI dashboards with GA import from Power BI and Tableau, larger Excel exports, multi-select widget moves, local metric views, steadier colors, and richer Genie Code authoring. It also adds subscription fixes and several dashboard visualization improvements.
Import from Power BI and Tableau
Importing reports and data models from Power BI and Tableau with Genie Code (/importBI) is now generally available. See Import BI files using Genie Code.
Larger Excel downloads
You can now download up to 1 million rows from a dashboard widget to Excel (.xlsx), up from 100,000. See Download results.
Multi-select and move widgets
Dashboard authors can now select multiple widgets and move them together on the canvas by holding Cmd or Ctrl while clicking. See Keyboard shortcuts.
Full-width tables in text widgets
Markdown tables in text widgets now use the full width of the widget instead of a fixed width.
Hide the sparkline and date labels on counters
You can now hide the sparkline and date labels on counter widgets. See Hide date labels and the sparkline.
Consistent colors across widgets
Charts that color by a categorical field now use the same color for the same value across every widget on a dashboard. See Consistent colors across widgets.
Duplicate subscriber prevention in the API
Dashboard subscription APIs now prevent duplicate recipients from being added.
Unsubscribe removes duplicate subscriptions
Unsubscribing from a schedule by email or from the dashboard now removes all duplicate subscriptions for that recipient. See Manage scheduled dashboard updates and subscriptions.
Local metric views
Local metric views are now generally available. Define fields, measures, and join relationships directly in an AI/BI dashboard with a visual interface, without first publishing them to Unity Catalog. See Local metric views.
Low-code UI for Unity Catalog metric views in dashboards
When you add a Unity Catalog metric view to a dashboard, it now uses the same low-code UI as local metric views, replacing the legacy UI. You can edit the metric view in Unity Catalog, or extend it locally to add dashboard-specific measures and fields. Unity Catalog metric views that use parameters can't be extended. See Extend a Unity Catalog metric view.
Genie Code for dashboard authoring
New authoring capabilities and fixes for Genie Code:
- Undo and redo: You can now undo and redo edits made by Genie Code. See Use Genie Code for dashboard authoring.
- Materialize datasets: Genie Code can now optionally materialize datasets.
- Manage email schedules: You can now manage dashboard email schedules directly from Genie Code.
- Set a schedule's tabular attachment: Genie Code can now set a schedule's tabular attachment, so a scheduled email includes widget data. See Email attachments.
- Improved layout placement: Genie Code now places widgets in appropriate locations instead of leaving large gaps in the dashboard layout. See Dashboard layout and organization.
- Visualization title fix: Fixed a bug where visualization title text overlapped the action icons in a Genie Code chat response.
- Choropleth map fix: Fixed a bug that caused choropleth maps to crash when filtered results returned no data.
- Waterfall cross-filtering fix: Fixed a bug where waterfall charts did not trigger cross-filtering.
Curated by the Releasebot team
Releasebot is an aggregator of official release notes from hundreds of software vendors and thousands of sources.
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