Sentry is the leading open-source application monitoring platform, used by 4M+ developers to track errors, performance bottlenecks, and session replays in production. It captures exception stack traces with full user and environment context, groups duplicate errors by impact, and links each bug to the specific code release that introduced it — making it the default error tracking tool for web, mobile, and backend applications across every major language and framework.
An error monitoring platform used by 4 million developers that catches bugs in production, shows exactly what went wrong with full context, and suggests AI-powered fixes.
What Is Sentry Used For?
Sentry monitors applications in production — capturing unhandled exceptions, performance slowdowns, and user session replays automatically. When an error occurs, Sentry captures the full stack trace, the user who triggered it, the device and browser environment, the specific release version, and recent breadcrumb events leading to the crash. It groups duplicate errors together so your team sees '1,247 users hit this' rather than 1,247 separate alerts — prioritizing by impact rather than frequency.
Is Sentry Free? What Does the Free Plan Include?
Sentry's free Developer plan includes 5,000 errors/month, 10,000 performance transactions, 50 session replays, and 1GB of attachments — sufficient for solo projects and MVPs. Team ($26/mo): 50k errors, 100k transactions. Business ($80/mo): 150k errors with advanced features. The free tier's most common ceiling: a single production bug spike can exhaust your monthly error quota. The self-hosted version is free and unlimited if you run Sentry on your own infrastructure via Docker.
Sentry vs Datadog: Which Should You Use?
Sentry and Datadog solve different observability problems. Sentry is exception-first — built around capturing, grouping, and resolving application code errors, with source map support for readable JavaScript stack traces and release tracking to see which deploy caused which bugs. Datadog is metrics-first — infrastructure monitoring, APM distributed traces, log aggregation, and custom dashboards across your entire stack. Most production teams use both: Datadog for infrastructure and system health, Sentry for code-level error tracking. For small teams choosing one: Sentry's free tier and developer experience win until you need multi-service distributed tracing at scale.
Heat Score
0–100 viral momentum index combining social buzz, search trends & growth velocity
13
14-day trend
0
24h
-50
Heat Score Breakdown
Creator Buzz (30%)9
Search Interest (25%)31
Community Discussion (20%)2
Growth Momentum (25%)0
Forecast
Stable
low confidence
Now
13
→
+7 days
21
→
+14 days
21
A.R.C. ScoreInfrastructure Rating
84
B
Architecture — API openness (40%)90
Reliability — uptime & unit economics (35%)94
Context density — memory & modalities (25%)62
🔓Data Lock-In Index
0/ 100
Lower = more portable. 0 = fully open, 100 = maximum lock-in.
✓ Webhooks Out✓ Bulk Export✓ Open FormatsOpen-Data Compliant ✓
Pricing
freemium
Best For
Teams & Solo
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