Troubleshoot Kafka issues across every layer of your stack with Kafka Console
Learn how Kafka Console helps you identify Kafka issues, inspect messages, and tune configurations with infrastructure and app context.
Also shipped Sep 10, 2026Datadog in September 2026 →
BigQuery conversational analytics adds ML.CORRELATION in preview
Conversational analytics can now use ML.CORRELATION to calculate statistical correlations between a target column and one or more metric columns in a table.
BigQuery ML.METRICS evaluates predictions without a stored model
The preview ML.METRICS function computes classification or regression evaluation metrics on any table or query with actual and predicted values, with no need to create or reference a stored model.
You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data
You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data. This feature is in Preview .
BigQuery Data Engineering Agent integrates with BigQuery Graph
The Data Engineering Agent now uses BigQuery Graph for extra context between source and destination schemas, improving schema mapping accuracy in data engineering pipelines. It is generally available.
Using dbt artifacts for Slim CI and defer to production in dbt Projects on Snowflake (General availability)
Slim CI, defer to production, failed-execution recovery, and concurrent execution are now generally available for dbt Projects on Snowflake. Reuse dbt artifacts from recent production executions to accelerate development, streamline CI/CD workflows, and recover from failed production runs without maintaining a separate artifact store.
External secret providers (Preview)
External secret providers are now in preview. If your organization already keeps API keys, database passwords, and similar values in AWS Secrets Manager, Azure Key Vault, or Google Cloud Secret Manager, Snowflake can read those values when a query needs them, so you don't have to maintain a second copy in a Snowflake secret .
More from DatadogEvery Datadog release →
Analyze your experiments in ChatGPT with the Datadog Experiments plugin
Learn how the Datadog Experiments OpenAI Data plugin lets your team read, question, and act on experiment results directly in ChatGPT.
Manage Cursor costs with Datadog Cloud Cost Management
Analyze Cursor spend by user and model, catch unexpected cost changes, and manage AI coding costs alongside your cloud and SaaS spend.
From alert to resolution: Manage incidents with Bits Chat in Slack
Use Bits Chat in Slack to investigate incidents, collaborate with responders, make code fixes, and capture follow-up work where your team communicates.
Stop runtime threats with Workload Protection response actions
When a runtime threat appears, every step costs time. Datadog Workload Protection can now kill processes and isolate workloads with automated and manual response actions.
Build and run Datadog workflows from Bits Chat or AI agents
Build, debug, and run Datadog workflows from Bits Chat and AI coding agents using the operational and development context where you’re working.
Enforce custom rules in Datadog IaC Security scanning
Create, test, and publish custom IaC Security rules in Datadog to detect organization-specific policy violations before deployment.
Troubleshoot and secure your code faster with Datadog’s Bitbucket Cloud Source Code integration
Connect Bitbucket Cloud to Datadog to troubleshoot with source code in context and surface test, quality, and security feedback in pull requests.
Understand the top paths users take to convert or drop off with Journey Paths
Use Journey Paths in Datadog Product Analytics to quantify how users convert, investigate drop-offs, and find friction between funnel steps.