Sentry vs Datadog

Overview

Sentry focuses on application monitoring: error tracking, performance monitoring, session replay, and profiling. It is developer-friendly, open source at its core, and competitively priced. Datadog is a comprehensive observability platform covering infrastructure metrics, APM, log management, security monitoring, CI visibility, and more.

Key Differences

Scope: Sentry monitors application-level issues. Datadog covers the entire infrastructure stack. If you need server, container, and network monitoring, Datadog is the only choice of the two. Error Tracking: Sentry is the gold standard — error grouping, stack trace deobfuscation, release tracking, and issue assignment are best-in-class. Datadog Error Tracking exists but is less mature. Session Replay: Sentry records user interactions for replaying exactly what happened when an error occurred. The integration between replays and error details is tighter than Datadog equivalent. Pricing: Sentry is significantly cheaper for small-to-mid teams. The free tier covers 5K errors and 10K transactions monthly. Datadog costs escalate quickly with separate billing for infrastructure, APM, and logs. Open Source: Sentry core is open source and self-hostable. Datadog is fully proprietary.

Verdict

Choose Sentry for application error tracking, performance monitoring, and session replay at a reasonable price. Choose Datadog for full-stack observability including infrastructure metrics, distributed tracing, and log management.