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Databricks

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Databricks Data & Analytics

Unity Gateway API and developer tools are generally available

The Unity Gateway API for managing model services, model provider services, and MCP services is now generally available, with create, read, update, list, and delete support across Databricks developer tools: Terraform provider: 1.132.0 and later Databricks CLI: v1.17.0 and later Python SDK: databricks-sdk 0.136.0 and later Go SDK: databricks-sdk-go v0.178.0 and later Java SDK: databricks-sdk-java…

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Databricks Data & Analytics

Unity Gateway API and developer tools are generally available

The Unity Gateway API for managing model services, model provider services, and MCP services is now generally available, with create, read, update, list, and delete support across Databricks developer tools: Terraform provider: 1.132.0 and later Databricks CLI: v1.17.0 and later Python SDK: databricks-sdk 0.136.0 and later Go SDK: databricks-sdk-go v0.178.0 and later Java SDK: databricks-sdk-java…

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Databricks Data & Analytics

Automatic change data feed will soon be available in all supported regions

Automatic change data feed (Auto CDF) is rolling out to workspaces over the next month and will be available in all supported regions by the end of October 2026. Auto CDF computes row-level changes at query time using row tracking, so you don't need to enable change data feed on each Delta Lake or Apache Iceberg v3 table. It requires Databricks Runtime 19 or above with row tracking enabled. See Au…

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Databricks Data & Analytics

The READ METADATA privilege will soon be available by default for workspaces with the compliance security profile enabled

The READ METADATA privilege will be available by default for workspaces with the compliance security profile enabled in mid-October 2026. READ METADATA grants read-only visibility into an object's metadata, including security-sensitive information that BROWSE doesn't expose, such as privilege grants, row filters and column masks, and ABAC policies. It's intended for users who inspect and debug acc…

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Databricks Data & Analytics

ABAC on views is in Beta

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. See Attribute-based access control in Unity Catalo…

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Databricks Data & Analytics

Lakebase snapshots API (Beta)

You can now manage Lakebase snapshots programmatically. The snapshots API lets you create, get, list, and delete point-in-time snapshots of a project branch, and restore a snapshot by creating a new branch from it. This API is in Beta. See Create a snapshot.

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Databricks Data & Analytics

The counter_diff SQL window function is now available

The counter_diff window function calculates differences between consecutive cumulative counter values and handles counter resets, for time-series analysis of counter data. It is available in Databricks SQL and Databricks Runtime 19 and above. See counter_diff analytic window function.

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Databricks Data & Analytics

JAR tasks on serverless compute will soon be available for workspaces with the compliance security profile enabled

In early October 2026, running JAR tasks on serverless compute will be automatically enabled for workspaces with the compliance security profile enabled. Package your Java or Scala Spark code in a JAR and run it as a JAR task on serverless compute in a Lakeflow Job, without provisioning or managing clusters. See Create and run JARs on serverless compute.

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Databricks Data & Analytics

Session restore for serverless jobs is in Public Preview

Restore the Python variables and Spark session from a serverless compute job run into a new interactive notebook, so you can debug a failure or explore results without rerunning the entire job. Databricks captures the snapshot automatically for eligible runs. See Session restore for serverless jobs.

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Databricks Data & Analytics

Sharing foreign schemas and tables with OpenSharing is now generally available

Sharing and reading foreign schemas and foreign tables with OpenSharing is now generally available. Providers can share foreign schemas and tables federated from external data sources using Lakehouse Federation, without copying data into Databricks. See Add foreign schemas or tables to a share for providers and Read data in a shared foreign table or foreign schema for recipients. Sharing foreign s…

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Databricks Data & Analytics

Sharing foreign Iceberg tables with OpenSharing is now generally available

Sharing and reading foreign Iceberg tables with OpenSharing is now generally available. Providers can share Iceberg tables federated from foreign Iceberg catalogs using Lakehouse Federation, including to recipients using external Iceberg clients. See Add foreign Iceberg tables to a share for providers and Read data in a shared foreign Iceberg table for recipients.

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Databricks Data & Analytics

DeepSeek V4.1 Flash is now available on Unity Gateway

DeepSeek V4.1 Flash is now available on Unity Gateway with text and image inputs. See supported regions. You can access this model using Foundation Model APIs. Customers are responsible for ensuring their compliance with applicable terms.

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Databricks Data & Analytics

DeepSeek V4.1 Flash is now available on Unity Gateway

DeepSeek V4.1 Flash is now available on Unity Gateway with text and image inputs. See supported regions. You can access this model using Foundation Model APIs. Customers are responsible for ensuring their compliance with applicable terms.

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Databricks Data & Analytics

Managed tables in Lakeflow pipelines (Beta)

You can now create managed tables in Lakeflow pipelines and write to them with one or more append flows. This feature is in Beta. You can also use import_checkpoint on an append flow to migrate an existing Structured Streaming workload into a pipeline without reprocessing the source. See create_table, CREATE TABLE ... FLOW (pipelines), and append_flow.

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Databricks Data & Analytics

Databricks-provided MCP connectors for Genie One and Genie Code are generally available

Genie One and Genie Code can now use Databricks-provided MCP connectors for Google Drive, Gmail, Google Calendar, Microsoft 365, Atlassian, Slack, and GitHub to search and act on your company's tools while answering questions. Every connection is governed through Unity Catalog and Unity Gateway, which authorizes each tool call, enforces built-in policies and approval requirements, and logs usage a…

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Databricks Data & Analytics

Databricks-managed MCP connectors for Genie One are generally available

Chat in Genie One can now use Databricks-managed MCP connectors for Google Drive, Gmail, Microsoft 365, Atlassian, and Slack to search and act on your company's tools while answering questions. Every connection is governed through Unity Catalog and Unity Gateway, which authorizes each tool call, enforces built-in policies and approval requirements, and logs usage and audit activity. Each user auth…

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Databricks Data & Analytics

The Databricks Excel Add-in is now generally available

The Databricks Excel Add-in is now generally available. Connect Microsoft Excel to your Databricks workspace to browse and import governed Unity Catalog tables and views, run SQL queries, build pivot tables, use custom functions, and write data back to Unity Catalog. You can now also enable Live query when building pivot tables to see results as you update the fields. See Connect to Databricks fro…

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Databricks Data & Analytics

Maintenance windows for continuous pipelines

You can now set a maintenance window on a continuous Lakeflow pipeline to control when Databricks applies platform updates that require a restart, such as new runtime versions and serverless infrastructure maintenance. Select a day of the week, a start hour, and a time zone, and Databricks starts maintenance only within that one-hour window. Configure the window in the Jobs UI, the Pipelines UI, o…

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Databricks Data & Analytics

Genie Agents enhancements

Increased data source limit: Each Genie Agent supports up to 50 tables, views, or metric views as data sources, up from 30. See Technical requirements and limits. Increased conversation limit: Each Genie Agent can store up to 200,000 conversations, up from 10,000. See Technical requirements and limits.

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Databricks Data & Analytics

Dashboard enhancements

More Tableau calculations in /importBI: Importing Tableau reports with the /importBI Genie Code command now supports more cases of parameterized calculations. See Import BI files using Genie Code. Relationship-scoped filters (Public Preview): On a dashboard with relationships, each widget now responds only to filters whose dataset is related to it, so a filter no longer affects unrelated charts. S…

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Databricks Data & Analytics

Genie One enhancements

Genie Code skills in Genie One (Beta): Genie Code skills now appear and are turned on by default in Genie One. Turn individual skills on or off on the customization page. Backend steering: You can now send steering messages to Genie One while it's answering, so you can guide a response without waiting for it to finish. PowerPoint uploads: You can now upload PowerPoint (.pptx) files to a Genie One…

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Databricks Data & Analytics

Genie Code adds conversation controls

Genie Code now includes conversation controls that let you branch and revise a chat. You can fork a conversation into a new, independent thread from a point you choose, ask a quick side question with /btw without adding it to the thread, and edit an earlier message to regenerate the conversation from that point. See Branch and edit chats.

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Databricks Data & Analytics

External secrets in Unity Catalog (Beta)

External secrets connect a Unity Catalog schema to AWS Secrets Manager. The secrets appear in Unity Catalog as read-only securable objects that you govern with Unity Catalog privileges. Databricks reads their values from AWS Secrets Manager on demand. See External secrets in Unity Catalog.