Feature Overview

Datadog Database Monitoring (DBM) helps application developers, database administrators, and platform teams troubleshoot and optimize slow, inefficient queries across database environments without requiring deep database expertise. DBM unifies database, application, and infrastructure telemetry in one place, giving teams full visibility into database load, long-running queries, and blocking queries. With AI-powered root cause analysis and automated query optimization recommendations, DBM surfaces the exact cause of performance issues and recommends fixes so teams can resolve problems faster and prevent spiraling database costs.

Troubleshoot database host and query inefficiencies

Find out what resources queries are waiting on and what users, queries, services, and applications are driving the load on database hosts
Triage database issues using wait event load analysis and host insights to quickly identify areas of underperformance
Resolve database table locks by visually identifying root blocking queries and impacted waiting queries to identify specific query processes to kill
Diagnose query latency regressions, pinpoint what broke, why it happened, and the steps to remediate automatically with an AI-powered root cause analysis agent

Proactively optimize query performance

Improve underperforming queries that have long-running transactions, are high-impact blockers, or have index recommendations by using automated recommendations with in-context remediation steps
Track performance trends by monitoring key query metrics, including average latency, total execution time, and number of rows queried over time
Receive suggestions for optimization to improve performance with query rewrites, schema updates, indexes and more

Resolve outages faster with unified database and application performance

Accelerate root cause analysis of high latency by correlating distributed traces with query metrics and node-level explain plans in one view
Triage issues faster across teams by understanding how database bottlenecks impact calling services and vice versa
Connect database and service performance data in one view, delivering cross-stack optimization recommendations directly through APM Recommendations driven by DBM, Continuous Profiler, and application insights

Strengthen database observability across teams in one platform

Maintain high database reliability and quickly catch and respond to issues with out-of-the box monitors and SLO tracking
Track database trends alongside metrics, traces, and logs coming from across your stack with customizable, easy-to-build dashboards
Break organizational silos by providing shared database host and query visibility for development, operations, and database teams