Releasesby GlyphOpenAI connector (Beta)
The OpenAI connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector uses the OpenAI Organization Admin API to ingest organization administration data, such as users, projects, API keys, usage, costs, and audit logs, from OpenAI into Databricks.
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.
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Environment variables for serverless jobs are in Beta
Environment variables for serverless Lakeflow Jobs tasks are in Beta . You can define named environment variable entries at the job level and select one for each task to pass deployment-specific configuration to your application code. A workspace admin must enable the preview from the workspace Previews page.
Automatic cost attribution for materialized views and streaming tables in Databricks SQL
Materialized view and streaming table refreshes in Databricks SQL now inherit custom tags from the enclosing SQL warehouse environment. These tags propagate to billing surfaces like system.billing.usage , enabling proper cost attribution of materialized view and streaming table updates back to the source SQL warehouse.
Refresh materialized views and streaming tables without exempting the pipeline owner from ABAC policies
You can now refresh a pipeline-managed materialized view or streaming table even when the pipeline owner or run-as identity is subject to an attribute-based access control (ABAC) policy.
SharePoint connector (GA)
Both SharePoint connectors in Lakeflow Connect are now generally available: the managed connector for fully managed ingestion pipelines, and the standard connector for custom pipelines built with Spark and SQL APIs.
PagerDuty connector (Beta)
The managed PagerDuty connector in Lakeflow Connect is now available in Beta. The connector ingests incident, on-call, service, and audit data from PagerDuty into Databricks. See PagerDuty connector .
NetSuite connector (GA)
The managed NetSuite connector in Lakeflow Connect is now generally available. The connector allows you to ingest ERP and financial data from Oracle NetSuite into Databricks. See NetSuite connector .
Google Drive connector (GA)
Both Google Drive connectors in Lakeflow Connect are now generally available: the managed connector for fully managed ingestion pipelines, and the standard connector for custom pipelines built with Spark and SQL APIs.
REPLACE USING flows for pipelines (Beta)
REPLACE USING flows are now available in Lakeflow pipelines in Beta . Use a REPLACE USING flow when your source is a series of partial snapshots keyed by column. On each update, the flow replaces all rows that match the specified key columns and leaves all other rows unchanged.