Databricks releases, every cloud
- Python custom data sources can be used with Spark Declarative Pipelines on Lakeflow
Supports Python custom data sources and sinks in pipeline definitions.
- Spark Declarative Pipelines on Lakeflow now supports stream progress metrics in Public Preview
Supports querying event log for stream progress metrics.
- Migrate Spark Declarative Pipelines on Lakeflow from legacy publishing mode is rolled back to Public Preview
Reverts migration feature to Public Preview due to issues. Requires re-enabling default publishing mode in pipelines.
- SQL Server connector supports SCD type 2
Maintains a history of changes, rather than overwriting outdated records.
- Admins can now manage a workspace's serverless base environments (Public Preview)
Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.
- Default warehouse setting is now available in Beta
Applied across SQL editor, AI/BI dashboards, and other tools, with optional user override.
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- Migrate Spark Declarative Pipelines on Lakeflow from legacy publishing mode is now GA
Replaces legacy single-catalog publishing with multi-catalog support.
- Microsoft SQL Server connector GA
Replaces manual ingestion scripts, requires Lakeflow Connect setup.
- Databricks SQL version 2025.25 is rolling out in Current
Rolls out from August 20th to August 28th, 2025.
- Set the run-as user for Spark Declarative Pipelines on Lakeflow
Replaces user accounts with a service principal for automated workloads.
- Databricks SQL version 2025.25 is now available in Preview
Adds recursive common table expressions and spatial SQL expressions.
- Fixed timeout handling for materialized views and streaming tables
New views and tables apply warehouse timeout, existing ones require CREATE OR REFRESH. Default timeout is 2 days.
- New SQL editor is generally available
Provides a unified authoring environment with features like real-time collaboration and enhanced Databricks Assistant integration.
- Spark Declarative Pipelines on Lakeflow template in bundles in the workspace (Public Preview)
Creates ETL pipelines in workspace bundles using Lakeflow template. Requires New ETL pipeline setup.
- Jobs in continuous mode can now have task-level retries for failed tasks
Task-level retries replace job-level retries, require continuous mode.
- ServiceNow connector GA
Replaces manual API configuration, requires Lakeflow Connect setup.
- Preset date ranges for parameters in the SQL editor
Includes options like This week, Last 30 days, and Last year for timestamp and date parameters.
- Jobs & Pipelines list now includes Databricks SQL pipelines
Includes materialized views and streaming tables created with Databricks SQL.
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- Inline execution history in SQL editor
Shows past results without re-executing queries, links to past query profiles.
- Moving tables between Spark Declarative Pipelines on Lakeflow pipelines is now GA
Supports moving tables in Unity Catalog ETL pipelines.
- Databricks SQL version 2025.20 is now available in Current
Rolls out in stages to the Current channel, see 2025.20 features for details.
- SQL editor updates
Supports date-range and multi-select parameters, and rearranges the run button and catalog picker to the header.
- Git support for alerts
Tracks alert changes, requires placing alerts in a Databricks Git folder. Newly cloned alerts are paused.
- Parent tasks (Run job and For each) now have a separate limit
Separate limit doesn't count against overall limit, see Resource limits.
- Databricks SQL version 2025.20 is now available in Preview
Includes new features and behavioral changes in Preview channel.
- Databricks SQL Serverless engine upgrades
Upgrades bring up to 25% lower latency and add Predictive Query Execution and Photon vectorized shuffle.
- User interface updates
Emits listHistoryQueries and getHistoryQuery events on Query History page and query profile opens.
- Metric views are in Public Preview
Requires a SQL warehouse on the 2025.16 Preview channel. Abstracts complex business logic into a centralized definition.
- User interface updates
New queries are created in Drafts folder by default, moving out when saved or renamed.
- New alert version in Beta
Simplifies creating and managing alerts with a single interface, can be used alongside legacy alerts.
- User interface updates
Tooltips in charts now follow number formatting defined in Data labels tab.
- Databricks SQL version 2025.16 is now available
Available in Preview channel, includes new features and bug fixes.
- Databricks SQL version 2025.15 is now available
Available in Preview channel, includes new features and bug fixes.
- Legacy dashboards support has ended
Creation and cloning are no longer supported, only critical security fixes remain.
- Boxplot visualizations issue fixed
Now displays categories and bars correctly for categorical x-axis.
- CAN VIEW permission for SQL warehouses is in Public Preview
Allows monitoring of SQL warehouses, including query history and profiles, without allowing query execution.
- Custom autoformatting options for SQL queries
Adds indentation and spacing options, see documentation for details.
- User interface updates
Improves usability and quick access to key insights in query profiles.
- User interface updates
Transfers can now be done via UI, replacing manual methods.
- User interface updates
Dual-axis charts now support click and drag zoom.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.