New jobs compute defaults to Auto access mode
Databricks updated the default access mode for new jobs compute in the UI to Auto. This change automatically selects Standard access mode unless specific runtime or hardware configurations are required.
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Databricks updated the default access mode for new jobs compute in the UI to Auto. This change automatically selects Standard access mode unless specific runtime or hardware configurations are required.
Databricks account admins can now restore a deleted Unity Catalog metastore by ID using the REST API for up to 5 days after deletion in public preview.
Databricks Marketplace now generally supports publishing governed metric views, allowing Databricks recipients to consume shared business metrics.
Databricks announced that starting January 2027, AI Functions requiring Databricks Runtime 15.4 LTS or higher (excluding ai_similarity) will mandate Databricks Runtime 17.3 LTS or above.
Databricks jobs now support AI Function tasks for parsing, extracting, or classifying files and table rows without writing SQL, currently in beta.
MLflow 3.18.0 helps you reuse agent expertise, find regressions before shipping, and monitor quality in production. Major New Features Automatic Issue Detection: Turn recurring agent failures into issues you can investigate and fix.
When Genie needs approval to run a connected external tool, the Databricks Genie apps for Slack and Microsoft Teams now show an approval prompt in the reply, so you can allow or deny the action without leaving the chat. See Approve tool actions and Approve tool actions .
Ingesting into tables backed by default storage with Zerobus Ingest in Lakeflow Connect is now generally available. See Create or identify the target table .
Beginning November 1, 2026, Unity Gateway budgets include spend from task-specific AI Functions such as ai_parse_document , ai_extract , and ai_classify across batch and real-time execution paths. See Manage budgets for Unity Gateway .
You can now see how current each destination table is in Lakeflow Connect database connector pipelines, in Public Preview . The new Data freshness column in the pipeline's tables list shows the time since the latest source commit that the pipeline ingested for each change data capture (CDC) table.
You can now apply attribute-based access control (ABAC) row filters and column masks to views, materialized views, and streaming tables shared through OpenSharing. Shared views are in Beta and require the ABAC on views preview. See OpenSharing and ABAC .
Databricks SQL version 2026.44 is now available in the Preview channel. This version includes the following changes: Operating system security updates. Miscellaneous bug fixes. This version doesn't include new features or behavioral changes.
The Unity Gateway Usage Dashboard is now available, providing insights into coding-agent adoption, harness usage, and session spend. It supports tag-based spend attribution and detailed model analysis.
The Lakebase snapshots and backup schedule APIs are now generally available. These APIs allow users to manage point-in-time snapshots and configure automated backup cadences for root branches.
Databricks Lakeflow Connect now offers a managed PayPal connector in Beta for incremental ingestion of payment data.
You can now use ug to configure the Claude desktop and ChatGPT desktop work agents with governed models, MCP servers, and skills. Subscription relay is available only in Claude desktop. Learn more .
The managed Google Analytics Aggregated connector is now available in beta for Lakeflow Connect, supporting incremental ingestion of GA4 report data.
Databricks now supports DataFrame caching on serverless compute via df.cache() or df.persist(), allowing users to reuse results within a session.
Unity Catalog Files API 3.0 is in beta, adding support for multipart uploads for files larger than 5 GB and conditional operations to prevent unintended changes.
Shared Serverless allows notebooks and files within the same bundle to share serverless compute resources and environment configurations defined in a pyproject.toml file.
Serverless notebook and Python script tasks can now use pyproject.toml files to configure job environments.
In early November 2026, Genie Ontology snippets will be generally available and enabled by default. Genie Ontology automatically extracts and maintains business context from your existing assets and usage, including metric views, dashboards, SQL queries, and Genie Agents.
The ai_enrich function can ground each row with a search tool on an external Model Context Protocol (MCP) server that you register in Unity Gateway, such as You.com or Exa. Add an mcp knowledge source alone or alongside other knowledge sources in the same call. This feature is in Beta .
The managed Asana connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. Use the connector to ingest work management data such as workspaces, teams, projects, tasks, portfolios, and goals from Asana into Databricks. The connector uses OAuth user-to-machine (U2M) authentication.
DeepSeek V4.1 Flash will be retired on November 19, 2026. DeepSeek V4.1 Flash (1017) is the recommended replacement. See Deprecated and retired models for migration guidance.
TypeSafe AI Jev 1.14.0 is now available on Unity Gateway. TypeSafe AI hosts it, and an account admin must enable the Externally-hosted TypeSafe AI Models preview. TypeSafe's terms govern its use.
File upload in Genie One and Genie Agents is now generally available, so workspace admins no longer need to turn on a preview. Upload files to a conversation and analyze them in natural language alongside your other data. For supported file types and limits, see Upload a file and Upload a file to a Genie Agent .
The READ METADATA privilege now supports all compliance security profile standards supported by Databricks and is available by default for workspaces with the compliance security profile enabled. For a full list of supported compliance standards, see Compliance security profile .
The agentic code converter is now generally available for the SQL target framework. Powered by Genie Code, it converts SQL from dialects such as T-SQL, Snowflake, Redshift, Oracle, BigQuery, and Teradata into Databricks SQL queries.
The Data Classification API and its Terraform resource are now generally available. Auto-tagging configuration ( auto_tag_configs ) remains in Public Preview . See the API reference .
Workspace admins can now configure default Python and npm package repositories for Databricks Apps. Apps inherit the workspace configuration while still allowing app-level overrides. See Configure default package repositories .
The managed Cribl connector is now available in Beta in Databricks Lakeflow Connect. Use the connector to ingest Cribl.Cloud Worker Group configuration, worker and health status, organization metadata, and Leader audit and access logs into Databricks.
AWS Private Link from Databricks serverless compute to AWS-managed resources, such as S3 buckets, previously in Public Preview, is now generally available. Your data traffic remains entirely within the AWS network and never traverses the public internet. See Configure private connectivity to AWS-managed resources .
Genie One can now run code in a secure, isolated sandbox to take on work that goes beyond SQL, such as more advanced analyses. Code runs on your behalf using your existing permissions, so Unity Catalog governance and data access controls continue to apply. See Code execution in Genie One .
The managed Productboard connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. Use the connector to ingest product hierarchy, roadmap, objectives, customer feedback notes, and workspace member data from Productboard into Databricks.
File upload in Genie One now supports plaintext files, including text ( .txt ) and Markdown ( .md ) files, in addition to CSV, Excel, PDF, image, Word, and PowerPoint files. See Upload a file .
The Discover page and domains are now generally available. Discover is a curated browsing experience that helps users find assets across Databricks without requiring deep knowledge of catalog hierarchies.
Context-based ingress policies for inbound Private Link are now generally available. Control which registered VPC endpoints can reach your workspaces, and combine endpoint rules with identity and request type conditions in the same policy.
Window measures in metric views are now generally available. Window measures define rolling window, cumulative, or semiadditive aggregations, such as moving averages, period-over-period changes, and running totals. See Window measures .
DeepSeek V4 Flash (0731) will be retired on November 5, 2026. DeepSeek V4.1 Flash is the recommended replacement. See Deprecated and retired models for migration guidance.
Genie Code CLI is a coding agent that runs in your terminal, tuned for data and AI work on Databricks. It works with your local files and uses the Databricks CLI to discover data, answer questions, and build and deploy assets such as pipelines, models, and apps. Model access is provided and governed through Unity Gateway. See Genie Code CLI .
You can now publish a skill from Genie One and share it with your team, governed by Unity Gateway. Access uses standard Unity Catalog privileges on the catalog and schema that hold the skill. See Share a skill with your team and Govern skills .
Google Gemini 2.5 Flash is no longer available. The recommended replacement models are Gemini 3.1 Pro or Gemini 3.5 Flash. See Deprecated and retired models for migration guidance.
You can now use a customer-managed key on the system catalog to decrypt statement_text and error_message in the query history system table. See Reading encrypted fields .
JDBC Unity Catalog connections are now generally available on serverless compute, Databricks Runtime 19 and above, and SQL warehouses 2025.40 and above, including support for SSL certificates. OAuth M2M authentication remains in Beta. See JDBC connection .
The managed GitLab connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. Use the connector to ingest repository, project, group, CI/CD, and security data from GitLab into Databricks.
Query tags are now generally available. You can apply custom key-value tags to SQL workloads for grouping, filtering, and cost attribution on Databricks SQL warehouses and Lakehouse//RT compute. Tags appear in system.query.history and on the Query History page of the Databricks UI. See Query tags .
Attribute-based access control (ABAC) row filters and column masks now extend to views, in addition to tables. This lets you use ABAC policies to control access to sensitive data exposed through views. Account admins can enable the ABAC on Views preview from the account console's Previews page. This feature requires Databricks Runtime 19 or above.
Databricks SQL version 2026.39 is now available in the Preview channel.
The system.ai_gateway.usage system table now includes coding-agent session metadata and invocation source. New token-detail fields capture tokens written to the 5-minute and 1-hour prompt caches, along with file and web search counts. See Track model usage .
You can now apply tags to dashboards, notebooks, Databricks apps, and Genie Agents to organize and categorize your workspace assets. This capability is now generally available. Both governed and ungoverned key-value tags are supported. See Apply tags to Unity Catalog securable objects .
When you delete a Unity Catalog pipeline that uses the default publishing mode, the UI and the Pipelines DELETE API retain associated materialized views, streaming tables, and views by default. The retained tables can be queried but cannot be updated until moved into an active pipeline.
Genie Code can now build end-to-end document processing pipelines by orchestrating parsing, classification, extraction, and validation. Point it at unstructured PDFs, contracts, or invoices, and it evaluates extraction quality against labeled data and iterates to improve it. See Use Genie Code for intelligent document processing .
The ai_search function can now retrieve from Lakebase synced tables with Lakebase Search enabled, in addition to AI Search indexes. Add a lakebase_search knowledge source to search a Lakebase synced table, or combine it with vector_search sources in the same call. This feature is in Beta . See ai_search function .
Genie usage by service principals is now billed at standard Genie pay-as-you-go pricing. Service principals are excluded from the free monthly usage allowance that applies to individual users. See Manage budgets and cost controls for Genie and Monitor and understand your Genie cost .
Sharing metric views with OpenSharing is now generally available. Add metric views to a share and query them with MEASURE(...) on serverless compute. See Add metric views to a share and Read shared metric views .
Lakebase captures its Postgres observability telemetry into the system.lakebase system tables, with no configuration to create and no destination to choose. Query plans, session history, wait events, schema-change history, database and compute health, and Postgres logs land there, and records are retained for 7 days.
You can now invite OpenSharing recipients by email instead of exchanging a sharing identifier or credential file. OpenSharing emails the recipient a secure activation link to connect and read the shared data. Email sharing is in Beta . See OpenSharing by email .
The system.query.history system table is now generally available. Use it to access account-wide records for queries run on SQL warehouses or serverless compute, including execution status, duration metrics, and query source. See Query history system table reference .
Back a model provider service's API key with a customer-owned Unity Catalog secret. The service reads it at query time, so rotating the secret takes effect with no service change. See Back a provider credential with a Unity Catalog secret .
| Release-notes page | Site | Feed |
|---|---|---|
| Databricks SQL docs.databricks.com | docs.databricks.com | None |
| Lakebase docs.databricks.com | docs.databricks.com | None |
| Lakeflow Declarative Pipelines docs.databricks.com | docs.databricks.com | None |
| Unity Catalog OSS releases github.com | github.com | RSS |
| AI/BI (dashboards, Genie) docs.databricks.com | docs.databricks.com | None |
| Databricks CLI releases github.com | github.com | RSS |
| Databricks Connect docs.databricks.com | docs.databricks.com | None |
| Databricks Runtime docs.databricks.com | docs.databricks.com | None |
| Declarative Automation Bundles docs.databricks.com | docs.databricks.com | None |
| Developer tools (CLI, SDK, Terraform) docs.databricks.com | docs.databricks.com | None |
| Feature Store docs.databricks.com | docs.databricks.com | None |
| Platform release notes (AWS) docs.databricks.com | docs.databricks.com | RSS |
| Python SDK releases github.com | github.com | RSS |
| Serverless compute docs.databricks.com | docs.databricks.com | None |
| Serverless environment versions docs.databricks.com | docs.databricks.com | None |
| Terraform provider releases github.com | github.com | RSS |
| Unity AI Gateway docs.databricks.com | docs.databricks.com | None |
| What's coming docs.databricks.com | docs.databricks.com | None |