Releasesby GlyphInstrument serverless apps with agentic onboarding
Use Datadog agentic onboarding to instrument AWS Lambda, Google Cloud Run, and Azure Container Apps from an AI assistant or CLI.
Also shipped Aug 10, 2026Datadog in August 2026 →
BigQuery supports gemini-3.1-flash-lite and gemini-3.5-flash GA models
Both models work in all BigQuery generative AI functions and are available on the us, eu and global multi-regional endpoints.
AI_MULTI_EMBED support for large video files in semantic video search (General availability)
Snowflake Cortex AI_MULTI_EMBED is now generally available for semantic video search with support for large video files up to 6 GB using the TwelveLabs Marengo Embed 3.0 model, enabling organizations to index and search production-grade video content directly in Snowflake.
Amazon S3 Tables Iceberg REST catalog integration (General availability)
Snowflake can now connect directly to the Amazon S3 Tables Iceberg REST endpoint, so you don’t need to create an AWS Glue integration. This capability is now generally available.
Request Access in Workspaces (Preview)
With this preview release, you can resolve access-related SQL errors in Workspaces by submitting access requests directly from Snowsight. When a query fails because of missing privileges and the user can’t self-resolve the issue by switching roles, the user can submit a request with a reason.
READ METADATA privilege is GA
The READ METADATA privilege is now generally available in Unity Catalog. READ METADATA provides read-only visibility into the same metadata available to the object's owner or a user with MANAGE , including security-sensitive information that BROWSE doesn't expose, such as privilege grants, row filters and column masks, and ABAC policies.
Notion connector (Beta)
The managed Notion connector in Lakeflow Connect is now available in Beta. The connector ingests pages, data sources, databases, blocks, comments, and users from Notion into Databricks. See Notion connector .
More from DatadogEvery Datadog release →
Investigate account-level churn risk with Product Analytics account segments
Learn how Product Analytics account segments combine business context and product behavior to identify accounts that may be at risk of churn.
Avoid Azure secret rotation with secretless authentication
Learn how secretless authentication for Datadog’s Azure integration helps prevent telemetry interruptions that result from expired client secrets.
Find, analyze, and collaborate on user sessions in Datadog Session Replay
See how Datadog Session Replay unites session discovery, AI analysis, and team collaboration in a single workspace.
Centralize human and agentic work with Datadog Work Management
Learn how Datadog Work Management helps you coordinate human and AI agent–driven work while preserving context, ownership, and activity across tools.
Trace AWS Lambda durable functions with Datadog
Trace AWS Lambda durable executions across invocations to investigate operations, retries, failures, waits, and function status in Datadog.
Detect vulnerabilities in LLM applications with Datadog’s AI-native SAST
Datadog Code Security’s AI-native SAST helps detect vulnerabilities specific to the OWASP Top 10 for LLM Applications before they reach production.
Prioritize security findings with the Datadog Runtime Prioritization Engine
Learn how the Datadog Runtime Prioritization Engine infers ownership and identifies business-critical resources to help you prioritize security findings.
Monitor Azure Functions across every hosting plan with Datadog
Trace requests, get enhanced CPU metrics, and profile code across Azure Functions hosting plans with Datadog Serverless Monitoring.