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Azure Databricks release notes · August 2025

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August 2025#

  • Interact with Azure Databricks jobs in a Power Automate flow (Public Preview) — Aug 29 · Azure · Product You can now interact with existing Azure Databricks jobs within Power Automate. To do so, add an Azure Databricks job action to your flow. See Use your Azure Databricks data to build Power Automate flows.
  • OLTP Database tab renamed to Lakebase Postgres in Compute section — Aug 29 · Azure · Product The OLTP Database tab in the Compute section of the workspace is renamed to Lakebase Postgres. Use this tab to create and manage your Lakebase database instances. See Manage projects.
  • Account SCIM 2.0 updates — Aug 29 · Azure · Product To enhance stability and support future growth, Databricks has updated the Account SCIM API for identity management as follows: Calling GET with filter params filter=displayName eq value_without_quotes results in a syntax error. To prevent this error, use quotation marks to wrap
  • Dashboard external embedding Public Preview and new custom calculations functions — Aug 28 · Azure · AI/BI Custom calculation functions: Support added for ln, log, log10, and round functions. See What are custom calculations?. Custom calculations limit increase: You can now define up to 200 custom calculations per dataset. Embedding for external users in Public Preview: Embedding dash
  • Genie follow-up questions and fixes — Aug 28 · Azure · AI/BI Fixed cloning issue for large spaces: Spaces with a large number of instructions can now be cloned successfully. Fixed CSV download issue on Windows: Downloaded query result files now open reliably on Windows.
  • Track and navigate notebook runs with the new cell execution minimap — Aug 28 · Azure · Product Use the cell execution minimap to track your notebook’s progress at a glance. The minimap appears in the right margin and shows each cell’s execution state (skipped, queued, running, success, or error). Hover to see cell details, or click to jump directly to a cell. For informati
  • Admins can now manage a workspace's serverless base environments (Public Preview) — Aug 28 · Azure · Product Base environments are custom environment specifications for serverless notebooks that define a serverless environment version and a set of dependencies. Workspace admins can now create and manage the base environments available in their workspace. They can also set a default base
  • Lakebase synced tables supports syncing Apache Iceberg and foreign tables in Snapshot mode — Aug 28 · Azure · Product You can now create synced tables in Snapshot sync mode from Iceberg tables or foreign tables. See Serve lakehouse data with synced tables.
  • External MCP servers are in Beta — Aug 28 · Azure · Product Users can now connect Databricks to external Model Context Protocol (MCP) servers. This allows agents to access tools outside of Databricks. See MCPs and agent tools.
  • Migrate Spark Declarative Pipelines on Lakeflow from legacy publishing mode is now GA — Aug 28 · Azure · Product Spark Declarative Pipelines on Lakeflow has a legacy publishing mode that only allowed publishing to a single catalog and schema. The default publishing mode enables publishing to multiple catalogs and schemas. Migration from the legacy publishing mode to the default publishing m
  • Default warehouse setting is now available in Beta — Aug 28 · Azure · SQL Set a default warehouse that will be automatically selected in the compute selector across the SQL editor, AI/BI dashboards, Genie Agents (formerly Genie Spaces), Alerts, and Catalog Explorer. Individual users can override this setting by selecting a different warehouse before ru
  • Governed tags are Public Preview — Aug 26 · Azure · Product You can now create governed tags to enforce consistent tagging across data assets such as catalogs, schemas, and tables. Using governed tags, admins define the allowed keys and values and control which users and groups can assign them to objects. This helps standardize metadata f
  • Databricks Runtime 17.2 and Databricks Runtime 17.2 ML are in Beta — Aug 26 · Azure · Product Databricks Runtime 17.2 and Databricks Runtime 17.2 ML are now in Beta. These releases include SQL and API enhancements, new migration options, and reliability and performance improvements across the platform. See Databricks Runtime 17.2 (EoS) and Databricks Runtime 17.2 for Mach
  • New INSERT REPLACE commands (GA) — Aug 26 · Azure · Product INSERT REPLACE USING and INSERT REPLACE ON are now generally available for Databricks Runtime 17.2. For details, see the Databricks Runtime 17.2 release notes.
  • Canada Protected B is GA — Aug 26 · Azure · Product CCCS Medium (Protected B) compliance is now generally available. CCCS Medium (Protected B) compliance refers to adherence to the Canadian Centre for Cyber Security’s requirements for handling and protecting sensitive government information classified as "Protected B." See Canada
  • OAuth token federation is now GA — Aug 26 · Azure · Product OAuth token federation is now generally available. Token federation enables you to securely access Azure Databricks APIs using tokens from your identity provider (IdP). You can configure token federation policies directly in the Azure Databricks UI, or using the Databricks CLI or
  • Microsoft SQL Server connector GA — Aug 26 · Azure · Product The Microsoft SQL Server ingestion connector in Lakeflow Connect is now generally available. See Configure Microsoft SQL Server for ingestion into Azure Databricks.
  • New table property to control Delta table compression — Aug 26 · Azure · Product You can now explicitly set the compression codec for a Delta table using the delta.parquet.compression.codec table property. This property ensures that all future writes to the table use the chosen codec. See Table properties reference.
  • Data type mapping update for Lakebase synced tables — Aug 25 · Azure · Product For newly created synced tables, TIMESTAMP types in source tables are now mapped to TIMESTAMP WITH TIMEZONE in synced tables. In existing synced tables, TIMESTAMP types continue to map to TIMESTAMP WITHOUT TIMEZONE. See Serve lakehouse data with synced tables.
  • Automatic liquid clustering is now available for Spark Declarative Pipelines on Lakeflow — Aug 25 · Azure · Product You can now use automatic liquid clustering with Spark Declarative Pipelines on Lakeflow. Use automatic liquid clustering with CLUSTER BY AUTO, and Databricks intelligently chooses clustering keys to optimize query performance. See Automatic liquid clustering, create_streaming_ta
  • Budget policy support for Lakebase database instances and synced tables (Public Preview) — Aug 25 · Azure · Product You can now tag a database instance and a synced table with a budget policy to attribute billing usage to specific policies. Additionally, custom tags can be added to a database instance for more granular attribution of compute usage to teams, projects, or cost centers. See Manag
  • Expanded region availability for Databricks Apps — Aug 25 · Azure · Product Databricks Apps now available in the following regions: germanywestcentral brazilsouth switzerlandnorth centralindia japaneast See Features with limited regional availability
  • Salesforce Data Cloud File Sharing connector GA — Aug 22 · Azure · Product The Salesforce Data Cloud File Sharing connector is now generally available. See Lakehouse Federation for Salesforce Data 360 File Sharing.
  • Updating workspace virtual network configurations is now in Public Preview — Aug 22 · Azure · Product You can now update virtual network (VNet) configurations for existing Azure Databricks workspaces. This allows you to: Migrate a workspace from a Azure Databricks-managed VNet to your own VNet (VNet injection). Move a VNet injection workspace to a new VNet. Replace existing subne
  • Enhanced autocomplete for complex data types in notebooks — Aug 22 · Azure · Product Notebook autocomplete now supports enhanced suggestions for complex data types including structs, maps, and arrays in SQL cells. Additionally, when referencing common table expressions (CTEs) that use SELECT *, autocomplete provides column recommendations based on the underlying
  • Dashboard sorting and formatting improvements — Aug 21 · Azure · AI/BI Fixed sorting on temporal categorical axes: Resolved an issue where sorting did not work correctly on temporal categorical axes. Numeric formatting as Bytes: Users can now format numeric values as Bytes. Totals in histogram tooltips: Histograms now display totals in tooltips. Axi
  • Genie SQL validation and space management — Aug 21 · Azure · AI/BI SQL expression validation for join relationships: Added validation logic to help authors write correct SQL join relationships. If a join statement contains errors, the validation logic flags them. Fixed cloning issue for spaces: Resolved a bug where cloned spaces did not correctl
  • Declarative Automation Bundles support for Lakebase database resources — Aug 21 · Azure · Product You can now define Lakebase database catalogs, instances, and synced tables in a bundle. This means you can deploy a full database environment with one command instead of setting up resources separately. When you deploy a bundle with a database instance, the instance starts runni
  • Databricks Assistant integrated with compute — Aug 21 · Azure · Product Users can now chat with Databricks Assistant on some compute pages. Use the Assistant chat panel to help you create a new compute resource, pool, and policy. Or, ask the Assistant questions about the compute resource, like “Is this compute resource Unity Catalog-enabled?” or “Wha
  • Databricks SQL version 2025.25 is rolling out in Current — Aug 21 · Azure · SQL Databricks SQL version 2025.25 is rolling out to the Current channel from August 20th, 2025 to August 28th, 2025. See features in 2025.25.
  • Serverless compute runtime updated to 17.1 — Aug 19 · Azure · Product Serverless compute for notebooks, jobs, and Spark Declarative Pipelines on Lakeflow now uses an upgraded runtime, which roughly corresponds to Databricks Runtime 17.1. See Serverless compute release notes.
  • Set the run-as user for Spark Declarative Pipelines on Lakeflow — Aug 18 · Azure · Product You can now change the identity that a pipeline uses to run updates and the owner of tables published by the pipeline. This feature allows you to set a service principal as the run-as identity, which is safer and more reliable than using user accounts for automated workloads. Com
  • Mosaic AI Vector Search reranker Public Preview — Aug 15 · Azure · Product Mosaic AI Vector Search now offers reranking to help improve retrieval quality. For details, see Use the reranker in a query.
  • Dashboard table visualization and chart improvements — Aug 14 · Azure · AI/BI Indicator for calculated measures in table editor: Added an indicator in the table visualization editor to show when calculated measures are not displayed in the table. Fixed transparent headers in light mode: Resolved a bug where table visualization headers appeared transparent
  • Genie interface and file upload enhancements — Aug 14 · Azure · AI/BI Fixed off-screen color ramp editor in Genie: Resolved a bug where the color ramp editor was hidden off-screen. Improved file upload security and setup in Genie: File uploads are now accessible only to the users who uploaded them. Setup is simplified to automatically designate the
  • Spark Declarative Pipelines on Lakeflow template in bundles in the workspace (Public Preview) — Aug 14 · Azure · Product You can now easily create an ETL pipeline in a bundle in the workspace using the new Spark Declarative Pipelines on Lakeflow template project. See New ETL pipeline.
  • Azure Databricks connector in Microsoft Power Platform is now GA — Aug 14 · Azure · Product The Azure Databricks connector in Microsoft Power Platform is now generally available. See Azure Databricks and Microsoft Power Platform integration.
  • Token-based rate limits now available on AI Gateway — Aug 14 · Azure · Product You can now configure token-based rate limits on your model serving endpoints. See Configure governance on model serving endpoints (legacy) for how to configure token-based rate limits.
  • Databricks-hosted models for Assistant are now GA — Aug 14 · Azure · Product Databricks Assistant with Databricks-hosted models is now generally available on all cloud platforms. This version of the Assistant is fully powered by models hosted and served directly on Databricks infrastructure — at no additional cost to customers. See Databricks-hosted model
  • Databricks SQL version 2025.25 is now available in Preview — Aug 14 · Azure · SQL Databricks SQL version 2025.25 is now available in the Preview channel. Review the following section to learn about new features and behavioral changes. Recursive common table expressions (rCTE) are generally available Recursive common table expressions (rCTEs) are generally avai
  • New SQL editor is generally available — Aug 14 · Azure · SQL The new SQL editor is now generally available. The new SQL editor provides a unified authoring environment with support for multiple statement results, inline execution history, real-time collaboration, enhanced Databricks Assistant integration, and additional productivity featur
  • Fixed timeout handling for materialized views and streaming tables — Aug 14 · Azure · SQL New timeout behavior for materialized views and streaming tables created in Databricks SQL: Materialized views and streaming tables created after August 14, 2025 will have the warehouse timeout automatically applied. For materialized views and streaming tables created before Augu
  • OpenAI GPT OSS models now support function calling — Aug 13 · Azure · Product The Databricks-hosted foundation models, OpenAI GPT OSS 120B and GPT OSS 20B now support function and tool calling. See Function calling on Azure Databricks.
  • OpenAI GPT OSS models now supported on provisioned throughput — Aug 13 · Azure · Product The Databricks-hosted foundation models, OpenAI GPT OSS 120B and GPT OSS 20B are now supported on On-demand provisioned throughput Foundation Model APIs.
  • Serverless GPU compute now supports multinode workloads — Aug 13 · Azure · Product Serverless GPU compute now supports multinode workloads. See AI Runtime.
  • Schedule jobs for Serverless GPU compute workloads — Aug 13 · Azure · Product You can now create and schedule jobs for your Serverless GPU Compute workloads. See Jobs (Scheduled).
  • Databricks Assistant: User and workspace instructions now available — Aug 12 · Azure · Product You can now tailor how Databricks Assistant responds by adding custom user instructions. Guide the Assistant with preferences, coding conventions, and response guidelines. Admins can also add workspace-wide instructions, which take priority over user instructions. Instructions ap
  • Single-node compute on standard access mode is now GA — Aug 12 · Azure · Product Single node compute resources with standard access mode is now generally available. This configuration allows multiple users to share a single-node compute resource with full user isolation. Single-node compute is useful for small jobs or non-distributed workloads. See Compute co
  • Column masks now retained when replacing a table — Aug 12 · Azure · Product If a column in the new table matches a column name from the original table, its existing column mask is now retained, even if no mask is specified. This change prevents accidental removal of column-level security policies during table replacement. Previously, replacing a table dr
  • Access requests in Unity Catalog (Public Preview) — Aug 11 · Azure · Product You can now enable self-service access requests in Unity Catalog by configuring access request destinations on securable objects. Users can request access to Unity Catalog objects that they discover. These requests are sent to configured destinations, such as emails, Slack or Mic
  • Disable legacy features for new workspaces (Public Preview) — Aug 11 · Azure · Product A new account console setting allows account admins to disable certain legacy features on new workspaces created in their account. If set, new workspaces will not include DBFS root and mounts, the Hive metastore, no-isolation shared compute, or Databricks Runtime versions prior t
  • Lakebase Public Preview enabled by default — Aug 11 · Azure · Product The Lakebase: Managed Postgres OLTP Database preview is now enabled by default. Users can start creating Lakebase database instances without needing workspace admins to enable this preview first. Admins can disable the preview if needed. See Manage projects and Manage Azure Datab
  • Jobs in continuous mode can now have task-level retries for failed tasks — Aug 11 · Azure · Product Jobs that are set to run in continuous mode now have the option to retry individual tasks on task failure. See Run jobs continuously.
  • ServiceNow connector GA — Aug 08 · Azure · Product The fully-managed ServiceNow ingestion connector in Lakeflow Connect is now generally available. See Configure ServiceNow for Azure Databricks ingestion.
  • Create external Delta tables from third-party clients (Public Preview) — Aug 08 · Azure · Product You can now create Unity Catalog external tables backed by Delta Lake from external clients and systems, such as Apache Spark. See Access Databricks tables from Delta clients.
  • Path credential vending (Public Preview) — Aug 08 · Azure · Product You can now use path credential vending to grant short-lived credentials to external locations in your Unity Catalog metastore. See Unity Catalog credential vending for external system access.
  • Use OpenAI GPT OSS models for batch inference and structured outputs — Aug 07 · Azure · Product The Azure Databricks-hosted foundation models, OpenAI GPT OSS 120B and GPT OSS 20B are now optimized for AI Functions, which means you can perform batch inference using these models and AI Functions like ai_query(). Inference workloads that use these models also now support speci
  • Databricks ODBC driver 2.9.2 — Aug 05 · Azure · Product The Databricks ODBC Driver version 2.9.2 is now available for download from the ODBC driver download page. This release includes the following fixes and new features: The process name is now used as the default UserAgentEntry if the UserAgentEntry is not explicitly set. Added sup
  • Power BI Azure Databricks connector supports M2M OAuth — Aug 05 · Azure · Product You can now authenticate into Power BI Desktop using Machine-to-Machine (M2M) OAuth credentials. If you are currently using personal access tokens on behalf of service principals, Azure Databricks recommends switching to the new Client credentials authentication option. See Confi
  • OpenAI GPT OSS models now available on Mosaic AI Model Serving — Aug 05 · Azure · Product Mosaic AI Model Serving now supports OpenAI's GPT OSS 120B and GPT OSS 20B as Databricks-hosted foundation models. You can access these models using Foundation Model APIs pay-per-token.
  • Dashboard theme improvements — Aug 04 · Azure · AI/BI Updated selection color in Terra theme: The selection color in the Terra theme has been updated to improve visibility.
  • Genie join relationships and data handling enhancements — Aug 04 · Azure · AI/BI Local join relationships in Genie Agent (formerly Genie Space) knowledge stores: You can now define join relationships locally within a Genie Agent (formerly Genie Space)'s knowledge store. This is useful when authors lack permissions to define primary and foreign keys on upstrea
  • Azure Private Link from serverless compute to resources in your virtual network (VNet) via a standard load balancer (SLB) is now generally available — Aug 04 · Azure · Product You can now enable Azure Private Link to resources in your VNet (virtual network) through an SLB(standard load balancer) from serverless compute. See Configure private connectivity to resources in your VNet.
  • Databricks Runtime 17.1 is now is now GA — Aug 01 · Azure · Product Databricks Runtime 17.1 is now generally available. See Databricks Runtime 17.1 (EoS).
  • AI Playground is now GA — Aug 01 · Azure · Product AI Playground is now GA. See Chat with LLMs and prototype AI apps using AI Playground.
  • Edit mode in Assistant does multi-cell code refactoring and more — Aug 01 · Azure · Product Databricks Assistant now supports edit mode, which performs reasoning and editing steps across multiple cells in a notebook. Edit mode handles complex, multi-step tasks efficiently, coordinating changes across multiple cells without requiring manual intervention or repetitive pro