Azure Databricks release notes · May 2025

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View all azure databricks release notes

May 2025#

  • Metric views are in Public Preview — May 29 · Azure · AI/BI Unity Catalog metric views are now in Public Preview: Metric views provide a centralized way to define and manage consistent, reusable, and governed core business metrics.
  • Dashboard catalog picker and filter fixes — May 29 · Azure · AI/BI Catalog and schema picker in the dataset editor: You can now select a catalog and schema from the SQL editor in the Data tab of a draft dashboard.
  • Genie knowledge store and metadata improvements — May 29 · Azure · AI/BI Benchmark execution bug fix in Genie: A bug where benchmarks would not execute immediately after creating a benchmark run has been fixed. Popular query suggestions in Genie: Genie will now suggest popular queries as example SQL for newly added tables to the space.
  • Metric views are in Public Preview — May 29 · Azure · SQL Unity Catalog metric views provide a centralized way to define and manage consistent, reusable, and governed core business metrics. They abstract complex business logic into a centralized definition, enabling organizations to define key performance indicators once and use them…
  • User interface updates — May 29 · Azure · SQL New SQL editor improvements: New queries in Drafts folder: New queries are now created by default in the Drafts folder. When saved or renamed, they automatically move out of Drafts.
  • Dashboard filter enhancements and visualization improvements — May 22 · Azure · AI/BI Exclude selected values in filter widgets: Dashboard viewers can now include or exclude the values they select from multi-select filter widgets. Drop-down selection fix: Fixed an issue where selection options in a drop-down list appeared out of order.
  • Genie usage guidance and query performance — May 22 · Azure · AI/BI Usage guidance addition in Genie: You can now add Usage Guidance to clarify how and when SQL examples should be used. Improved query result display in Genie: Query results now show more quickly.
  • New alert version in Beta — May 22 · Azure · SQL A new version of alerts is now in Beta. This version simplifies creating and managing alerts by consolidating query setup, conditions, schedules, and notification destinations into a single interface. You can still use legacy alerts alongside the new version.
  • User interface updates — May 22 · Azure · SQL Tooltip formatting in charts: Tooltips in charts from the SQL editor and notebooks now follow the number formatting defined in the Data labels tab. See Visualizations in Databricks notebooks and SQL editor.
  • Dashboard query updates and calculation support — May 15 · Azure · AI/BI Genie in dashboards query update: Genie in dashboards will now only query from dashboard datasets, instead of the underlying tables within dashboard datasets.
  • Databricks SQL version 2025.16 is now available — May 15 · Azure · SQL Databricks SQL version 2025.16 is now available in the Preview channel. Review the following section to learn about new features, behavioral changes, and bug fixes.
  • Dashboard data selection and point maps — May 08 · Azure · AI/BI Select and add multiple tables and views: Users can now select and add multiple tables and views at once from the Add data dialog. Draft dashboard scheduling bug fix: Fixed a bug that allowed draft dashboards to be scheduled using the API.
  • Genie entity matching and point map support — May 08 · Azure · AI/BI Increased entity matching support in Genie: Each entity matching (previously value dictionary) column in Genie now supports 1024 values per column, up from 255. Click Refresh on your existing entity matching columns to increase cardinality support. See Tune Genie Agent quality.
  • Dashboard data truncation improvements — May 01 · Azure · AI/BI View truncated data: You can now view more data in charts with truncated results by clicking Render more data.
  • Genie follow-up questions and instruction processing — May 01 · Azure · AI/BI Follow-up questions for text responses in Genie: Genie now suggests follow-up questions for text responses that include no generated SQL or results. Previously, follow-up questions appeared only after responses with a result set.
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