Releasesby GlyphJAR 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 .
Also shipped Aug 6, 2026Databricks in August 2026 →
Automations in Snowflake CoWork (Public Preview)
Automations in Snowflake CoWork are now in Public Preview. An automation turns a one-time report into a recurring one: Snowflake CoWork re-runs your question with fresh data on the schedule you choose and emails you the results, including a summary and key metrics, along with a link that opens the full report so you can ask follow-up questions.
Looker Granular Dashboard Sizing is generally available
Dashboard editors can resize and lay out tiles with more granularity. Tiles appear rearranged the first time a dashboard is edited after enablement, and the new layout persists once saved.
Looker Dashboard Tile Limits is generally available
Admins can cap tiles per dashboard and per tab to optimize performance, configured on the Content Guardrails page in the Performance Center.
General availability: Pinecone Nexus
Pinecone Nexus, the knowledge engine for agents, is now generally available. Point Nexus at your sources, curate them into a context, and query that context to get grounded, cited answers. Get started in the Nexus quickstart.
Kimi K3 is now available in GitHub Copilot
Editor’s note (August 6, 2026): We have resumed rolling out Kimi K3 in GitHub Copilot. This model is billed at provider list pricing under usage-based billing. See GitHub Copilot’s pricing for models and requests for details. Editor’s note (August 6, 2026): We have temporarily paused the roll-out of Kimi K3 while we mitigate an incident with GitHub Actions.
Skill and plugin security scanning (beta) for Enterprise plans
Enterprise plans can turn on scanning that automatically checks third-party skills and plugins for malicious content when someone uploads or edits them.
More from Databricks Data Intelligence PlatformEvery Databricks Data Intelligence Platform release →
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.
Search 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 .
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...
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 .