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Azure Databricks released these features and improvements in June 2026.
Note
Releases are staged. Your Azure Databricks account might not be updated until a week or more after the initial release date.
ai_extract is now generally available
June 11, 2026
The ai_extract function is now generally available. This function extracts structured data from text and documents according to a schema you provide, supporting nested objects, arrays, type validation, citations, and confidence scores. See ai_extract function.
For a no-code UI to build, validate, and iterate on extraction agents, see Information Extraction.
ai_classify is now generally available
June 11, 2026
The ai_classify function is now generally available. This function classifies text content according to custom labels you provide, with support for label descriptions, global instructions, and multi-label classification. See ai_classify function.
For a no-code UI to build, validate, and iterate on classification agents, see Classification.
Agent Bricks Supervisor Agent now supports Unity Catalog volumes as subagent tools
June 11, 2026
You can now add Unity Catalog volumes as subagent tools in your Supervisor Agent. See Use Supervisor Agent to create a coordinated multi-agent system.
Schedule deferred policy enforcement for all-purpose compute
June 10, 2026
When you enforce compute policy compliance on out-of-compliance all-purpose compute, you can now schedule the configuration update to apply the next time the compute terminates or restarts, instead of restarting it immediately. Enforce on next restart avoids interrupting running workloads, while Restart and enforce applies the update right away. Workspace admins can cancel a scheduled enforcement for a single compute resource or for an entire policy. See Enforce policy compliance.
Databricks Genie app in Microsoft Teams (Beta)
June 10, 2026
The Databricks Genie app in Microsoft Teams is now available in Beta. The app brings Genie into Microsoft Teams so users can ask data questions and get answers without leaving Microsoft Teams. Chat with the app in a direct message or mention @Databricks Genie in a channel or group chat, and answers route through Genie or a pinned Genie Space. See Databricks Genie app in Microsoft Teams.
Lakehouse Replay (Beta)
June 10, 2026
Lakehouse Replay is now available in Beta. Lakehouse Replay automatically replays a sampled set of read-only serverless workloads from your workspace against upcoming Databricks Runtime releases to detect and fix regressions before they reach production. It requires no setup, configuration, or maintenance. Your data never leaves your workspace, and you are not billed for the compute used to run the replay.
Workspace admins can control the enablement of this feature from the workspace Previews page. See Lakehouse Replay.
Anthropic Claude Fable 5 now available as a Databricks-hosted model
June 9, 2026
Databricks Model Serving now supports Anthropic Claude Fable 5 as a Databricks-hosted model. Claude Fable 5 is built for autonomous knowledge work and coding, designed to handle long-running, complex, and asynchronous tasks with less need for human intervention.
To access this model, use Foundation Model APIs pay-per-token.
Identity federation enabled by default for all new workspaces
June 9, 2026
Over the next couple of weeks, identity federation is being enabled by default for all new Azure Databricks workspaces, including workspaces that are not attached to a Unity Catalog metastore. This change does not affect existing workspaces. See Identity federation.
Databricks Genie app for Slack (Public Preview)
June 9, 2026
The Databricks Genie app for Slack is now available in Public Preview. The app brings Genie into Slack so users can get answers to data questions without leaving Slack. Send a direct message to the app or mention @Genie in a channel or group DM, and answers route through Genie or a specific Genie Space that a channel owner has pinned. See Databricks Genie app for Slack.
The update_flow API for Lakeflow Spark Declarative Pipelines is generally available
June 9, 2026
The @dp.update_flow decorator in Lakeflow Spark Declarative Pipelines lets you add an update flow that writes to a sink in update output mode, emitting only the rows that change in each batch. Unlike append flows, update flows support stateful aggregations without requiring a watermark. See update_flow, generally available.
Reorganized Lakeflow Spark Declarative Pipelines documentation
June 9, 2026
The Lakeflow Spark Declarative Pipelines documentation is reorganized: all conceptual topics are now grouped under Concepts.
External lineage is now generally available
June 8, 2026
External lineage (formerly Bring Your Own Lineage) in Unity Catalog is now generally available. You can register assets that live outside Azure Databricks, such as Salesforce or MySQL sources and Tableau or Power BI dashboards, so that a single lineage graph spans your full data flow. As part of this release, Lakeflow Connect managed ingestion pipelines now automatically record source lineage from source tables to their destination tables in Unity Catalog. See External lineage and Track source data lineage for managed ingestion pipelines.
AI Search supports selected text columns, sorting, and aggregations (Beta)
June 8, 2026
AI Search now supports query-time options for full-text and hybrid queries in Beta. You can limit keyword matching to selected text columns, sort results by columns indexed for sorting, and return aggregate counts for values and ranges. For details, see Search selected text columns, sort results, and return aggregations (Beta).
Foundation model Unity Catalog permissions is generally available
June 5, 2026
Foundation model Unity Catalog permissions is now generally available. This feature requires enablement by your Databricks account team.
Account admins can use Unity Catalog permissions on the system.ai schema to control which Databricks-hosted foundation models your organization can access. Permissions are enforced across pay-per-token, provisioned throughput, and batch inference (AI Functions) workloads.
Managed SharePoint connector adds structured file ingestion and file metadata support (Beta)
June 5, 2026
The managed SharePoint connector in Lakeflow Connect now supports structured file ingestion (CSV, JSON, XML, Excel, Parquet, Avro, ORC), file metadata ingestion, file filters, schema evolution modes, and schema hints. These capabilities replace the previous unstructured-only ingestion approach with a unified managed file source API. See SharePoint connector.
External data access for pipeline streaming tables and materialized views (Public Preview)
June 5, 2026
You can now enable external Delta and Iceberg clients to read streaming tables and materialized views managed by a pipeline through the Unity Catalog and Iceberg catalog REST APIs, without copying the data. See Enable external data access to streaming tables and materialized views, Public Preview.
Delta Sharing is now OpenSharing
June 10, 2026
Following the release of open-source OpenSharing, Delta Sharing is now OpenSharing. OpenSharing is the new open standard for sharing data and AI assets across platforms and organizations, available both on GitHub and natively on Databricks. See What is OpenSharing? and opensharing.io for more.
Improved workspace file write performance on classic compute
June 4, 2026
Workspace file operations on classic compute now use asynchronous flushing by default for Databricks Runtime 17.1 and above. File writes, deletes, and metadata operations are batched and flushed in the background, reducing latency for workloads that write many files, such as Git operations. See What are workspace files?.
Write data from Microsoft Excel back to Azure Databricks
June 4, 2026
Use the Azure Databricks Excel Add-in to write data from Microsoft Excel back to a Unity Catalog table. Create a new table or overwrite an existing table in Azure Databricks without leaving Excel. See Write data back to Azure Databricks using the Azure Databricks Excel Add-in.
Set budgets for Genie usage
June 4, 2026
On July 6, 2026, Genie products will move to a pay-as-you-go pricing model. Each user receives 150 DBUs of free LLM usage every month, equivalent to about $10.50 in the US East region. Usage beyond the free allowance is billed in DBUs. For more information, see what's coming.
To prepare, account admins can now create budgets to monitor and control spending on Genie usage. Scope a budget to Genie to track spend across your account, workspaces, user groups, or individual users, configure email alerts, and set per-user spending limits. See Manage budgets and cost controls for Genie.
Genie Code now supports auto-approve for tool actions
June 4, 2026
Genie Code now offers an auto-approve mode that approves tool actions, like running code or editing notebooks, without prompting you for each request. An AI classifier reviews each action and blocks risky ones. Auto-approve is a productivity feature, not a security boundary. Databricks recommends keeping it off when working with production data or shared resources. See Approve tool actions.
Full page Genie Code (Beta)
June 3, 2026
Full page Genie Code is now available in Beta. The full page experience is a command center for Genie Code, where the active thread is shown prominently, surfacing assets like notebooks and files alongside it as tabs when needed. You can run multiple threads in parallel, switch between them easily, and easily personalize Genie Code with skills, instructions, and MCP servers. See Full page Genie Code.
Table update triggers on Delta Sharing and system tables (Beta)
June 3, 2026
Table update triggers in Lakeflow Jobs can now monitor data shared through Delta Sharing and system tables, in addition to local tables. You can trigger a job whenever a provider updates a shared table or view, or whenever new operational data lands in a system table. This feature supports Databricks-to-Databricks Delta Sharing only. See Add a trigger to OpenSharing and system tables.
Agent Bricks Supervisor Agent now supports web search as a built-in tool
June 3, 2026
You can now enable web search on your Supervisor Agent to answer questions that require current information from the public web. The supervisor returns a synthesized answer with source citations. Web search is also available as a web_search tool in the Supervisor API. See Use Supervisor Agent to create a coordinated multi-agent system.
Pendo connector (Beta)
June 2, 2026
Lakeflow Connect now supports a managed connector for ingestion from Pendo. See Pendo connector.
Zoom Logs managed ingestion connector (Beta)
June 2, 2026
The Zoom Logs connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest user sign-in/sign-out activity logs and admin operation logs from Zoom into Azure Databricks. See Zoom Logs connector.
Managed RabbitMQ connector (Beta)
June 2, 2026
The managed RabbitMQ connector in Lakeflow Connect is now available in Beta. The connector allows you to stream messages from RabbitMQ classic queues into streaming tables in Unity Catalog. See RabbitMQ connector.
Slack Access and Integration Logs managed ingestion connector (Beta)
June 2, 2026
The Slack Access and Integration Logs connector in Lakeflow Connect is now available in Beta. The connector allows you to ingest workspace access logs and app integration change logs from Slack into Azure Databricks. See Slack Access and Integration Logs connector.
Lakebase snapshot storage is now billed
June 1, 2026
Starting June 1, 2026, snapshot storage is billable for Lakebase Autoscaling. Snapshot storage size is shown on the Backup & Restore page. For pricing details, see the Lakebase pricing page. To learn about managing snapshots, see Snapshots.
Vector Search is now AI Search
June 1, 2026
Vector Search has been renamed to AI Search. You can now create full text search indexes without any vectors or embeddings needed. See Databricks AI Search.
Intra-VNet NSG rule hardening for Azure Databricks is now in Public Preview
June 1, 2026
You can now harden the intra-VNet NSG rule to restrict workspace traffic to your host and worker subnet CIDRs instead of the entire virtual network. Applies to VNet injection workspaces on the classic compute plane. See Harden intra-VNet network security group (NSG) rules for Azure Databricks.
Column popularity is now available in the Catalog Explorer
June 1, 2026
Column popularity is now available in the Catalog Explorer UI. To find the most popular columns in a table, go to the table's Overview tab. Popularity is determined by the number of queries against the table that read from a given column. See Popularity.