Releasesby GlyphWeb 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 .
Also shipped Jul 31, 2026Databricks in July 2026 →
[In preview] Public Preview: Azure SQL updates for late-July
In late-July 2026, the following update and enhancement was made to Azure SQL: Regex-based dynamic data masking (DDM) extends the built-in DDM feature with pattern‑based masking to hide sensitive data like emails, phone numbers, and identifiers, centrally
Upcoming August 2026 model deprecations in GitHub Copilot
We will deprecate the following models across all GitHub Copilot experiences (including Copilot Chat, inline edits, ask and agent modes, and code completions), on September 1st, 2026: Model Deprecation date Suggested alternative Gemini 3.1 Pro 9-1-2026 Gemini 3.6 Flash Claude Opus 4.5 9-1-2026 Claude Opus 4.7, Claude Opus 4.8, or Claude Opus 5 Claude Opus...
Gemini 2.5 Pro and Gemini 3 Flash deprecated
As of today, July 31, 2026, we have deprecated the following models across all GitHub Copilot experiences (including Copilot Chat, inline edits, ask and agent modes, and code completions).
Enterprise teams model policy targeting in public preview
You can now take advantage of user-based model policy targeting for GitHub Enterprise customers with Copilot Business or Copilot Enterprise licenses. This feature empowers AI administrators to set a baseline of models for the entire enterprise and then grant additional models to specific enterprise teams.
DeepSeek V4 Flash now runs updated weights on AI Gateway
DeepSeek V4 Flash now runs on updated weights by default on AI Gateway, with notably stronger agentic capabilities. On Terminal-Bench, it scores 82.7, up 25.8 points from 56.9 in the April preview. Requests to deepseek/deepseek-v4-flash pick up the new weights automatically, with no change to the model ID or your code.
Expanded search for workflow runs in Vercel Observability
The runs list for Vercel Workflows in Observability now has structured search, giving you more ways to find and investigate runs. Structured filters: Filter runs by workflow, environment, deployment ID, region , or any custom run attribute. Paste a run ID to pull up that exact run.
More from Databricks Data Intelligence PlatformEvery Databricks Data Intelligence Platform release →
Automatic upgrades begin rolling out row tracking and Checkpoint V2 to existing tables
Automatic upgrades begin rolling out row tracking and Checkpoint V2 to existing Unity Catalog managed tables, not just new tables. This rollout is gradual, so these features will be available to different customers at different times.
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 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...
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 .
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 .
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.