Releasesby GlyphOpenSharing SecureConnect will be available by default for all accounts
OpenSharing SecureConnect is generally available and available by default for accounts on the Premium plan. For accounts on the Enterprise plan, Databricks will enable it automatically in mid-September 2026, and by early 2027 for the rest.
Also shipped Aug 13, 2026Databricks in August 2026 →
BigQuery pipelines add automated metadata enrichment in preview
Semantic metadata defined in SQLX configurations now syncs with Knowledge Catalog, and the Data Engineering Agent can generate this metadata from your intent or context.
Gemini 3.7 Flash is generally available
Gemini 3.7 Flash is now generally available (GA) and available for production use. For more information on 3.7 Flash, see the model page .
Gemini Enterprise: Create, upload, and share custom skills
Skills are reusable custom instructions that help the Gemini Enterprise assistant perform specific tasks. End users can create, upload, and share skills. To enable this feature, administrators must turn on the skills and skill-sharing settings in Feature Management . Administrators can also configure skill availability and approve skill-sharing requests.
Gemini Enterprise: Use Gemini 3.7 Flash
Gemini 3.7 Flash is generally available (GA) in the global , us , and eu regions. To make Gemini 3.7 Flash available to users in the Gemini Enterprise app, administrators must turn on the Gemini 3.7 Flash feature toggle in the Google Cloud console. Note: Gemini 3.7 Flash is not available in the Gemini Enterprise mobile app.
Gemini 3.7 Flash generally available (GA)
Released our most intelligent workhorse model yet for coding and agents: Gemini 3.7 Flash (gemini-3.7-flash): Substantial improvements across software engineering, web development, and agentic workflows, available at an introductory price through December 31, 2026. To get started, see the Gemini 3.7 Flash model page and the Latest model guide.
OpenAI announces Ultrafast mode for GPT-5.6 Sol in limited preview
Ultrafast mode is a new API service tier for GPT-5.6 Sol that runs up to 14x faster than Standard processing, available to select customers.
More from Databricks Data Intelligence PlatformEvery Databricks Data Intelligence Platform release →
Expanded networking billing for OpenSharing SecureConnect
Databricks will be expanding networking billing for OpenSharing SecureConnect. Today, data providers are billed for data transfer (egress) when recipients access shared data through SecureConnect. Additional charge types and access scenarios, including charges billed to recipients, are planned.
Share data behind a firewall with SecureConnect is generally available
OpenSharing SecureConnect is now generally available . Providers can share data from cloud storage behind a firewall or private endpoint without adding each recipient's network to an allowlist, and recipients access the shares using their existing OpenSharing setup.
Identity attributes (Beta)
Identity attributes are in Beta . Databricks can store nine IdP-sourced attributes, such as title, department, and cost center, on account users, so they can be referenced in Unity Catalog ABAC column-masking policies.
Cross-workspace access for serverless (Beta)
You can now control serverless network traffic between Databricks workspaces. Account admins use cross-workspace access to set which source workspaces can reach a workspace (ingress) and which destination workspaces a workspace's serverless workloads can send traffic to (egress).
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.
Manage project environments with %uv commands
You can now use %uv init , %uv add , and %uv sync in serverless notebooks running environment version 5 or above to create a Python project, add dependencies, and sync its environment. See Create reproducible project environments with %uv .
ai_extract precision mode is now generally available
You can now use ai_extract precision mode for advanced extraction workloads, including multi-page documents, schemas with 50 or more fields, many extracted items per document, and complex conditional field logic. See ai_extract function .
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.