Releasesby GlyphSearch and replace text across files
You can now search and replace text across files in a Databricks Git folder or Declarative Automation Bundles project from the Search pane. See Search and replace across files .
Also shipped Aug 5, 2026Databricks in August 2026 →
Openflow Connector for SQL Server (CDC) (General availability)
The Openflow Connector for SQL Server (CDC) is now generally available. The connector captures every row-level change from Microsoft SQL Server using Change Data Capture (CDC) and replicates selected tables into Snowflake in near real-time or on a schedule. It supports initial snapshot load, incremental sync, and schema evolution.
The Table Visualization Improvements feature is now generally available
The Table Visualization Improvements feature is now generally available. You can now use the following features for table visualizations : Pagination Show/Hide Table Headers Table Borders Cell Highlighting Conditional formatting for string fields
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JAR tasks on serverless compute are now generally available
Package Scala or Java code as a JAR and run it as a task in a Lakeflow Job on serverless compute. Your JAR must match the Scala, Java Development Kit (JDK), and Databricks Connect versions of your serverless environment version. See Create and run JARs on serverless compute .
Databricks Runtime maintenance updates (08/04)
New maintenance updates are available for supported Databricks Runtime versions. These updates include bug fixes, security patches, and performance improvements. For details, see: Databricks Runtime 18 LTS Databricks Runtime 18.2 Databricks Runtime 18.1 Databricks Runtime 17.3 LTS Databricks Runtime 16.4 LTS Databricks Runtime 15.4 LTS Databricks Runtime...
ai_search function (Beta)
The ai_search() SQL function retrieves information from one or more AI Search indexes configured as knowledge sources. Given a natural-language query, the function generates optimized search queries, retrieves and deduplicates results across sources, reranks them by relevance, and returns the most relevant documents.
Serverless compute access control is now generally available
Serverless compute access control is now generally available. Workspace admins can govern who runs serverless workloads through two built-in serverless compute objects: Default Interactive Compute (governs access to notebooks and Databricks Connect) and Default Automated Compute (governs access to jobs and Spark Declarative Pipelines on Lakeflow).
Organize your work with spaces
You can now use spaces to organize your work in the Databricks editor. Each space lets you focus on a specific folder or project while preserving your open tabs, so you can easily pick up where you left off. See Organize your work with spaces .
Filter updates for the Databricks Excel Add-in
The Databricks Excel Add-in now supports cascading filters and case-insensitive string matching. Additionally, the LIKE , NOT LIKE , IN , NOT IN , and ILIKE filters are no longer available in the filters list. See Filter imported data .
Databricks Runtime 19: August 10, 2026
New features and improvements collect_union aggregate function : SQL and the Scala and Python DataFrame APIs now support collect_union , which returns the distinct union of the elements in arrays within each group.
Web terminal on serverless GPU compute (AI Runtime) is in Public Preview
The web terminal in notebooks connected to serverless GPU compute (AI Runtime) is now in Public Preview . Use it to run shell commands, monitor GPU usage with nvidia-smi , install libraries, and manage files directly on the compute. This requires serverless GPU environment version 5 or above. See Run shell commands in Databricks web terminal .