Datadog BigQuery Monitoring

Visualize, Track, and Analyze Query Metrics

Monitor BigQuery metrics alongside the rest of your stack, including databases, cloud services, containers, and serverless functions
Track BigQuery health metrics, such as the number of flight jobs, average query execution time, the amount of bytes scanned during a query, and more
Discover in-depth insights into your entire data architecture with customizable, drag-and-drop dashboards
Uncover problematic queries with metrics such as average latency, total execution time, and number of rows queried

Monitor query-level and host-level metrics together to better understand how resource constraints affect data warehouse performance
Quickly identify bottlenecks, errors, heavy workloads, slow-running queries, and more with end-to-end application tracing, latency breakdowns, and stack traces
Easily spot the inefficient query patterns that hinder performance by investigating explain plans
Understand how inefficiencies impact performance by seamlessly pivoting from explain plans to related metrics

Isolate BigQuery performance issues in minutes by visualizing query metrics over time
Reduce MTTR, prevent outages, and ultimately increase company revenue with Datadog's intuitive, no-code platform
Break down silos and increase visibility by monitoring your entire stack all in one place
Diagnose root causes faster and see anomalous behavior across all your systems by correlating query metrics with database and infrastructure metrics

Expand your team’s access to query metrics without providing explicit BigQuery access to every user
Keep sensitive data secure with automatic obfuscation of PII in explain plans and query metrics
Eliminate bottlenecks at the DBA level by managing many databases at once without compromising security