Sentry vs Datadog

Compare a developer-first error tracking platform against a full-spectrum observability suite that spans logs, metrics, and APM.

Sentry

Application monitoring platform to fix errors faster

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Datadog

Monitoring and security for cloud-scale applications

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Our take

Pick Sentry when application errors and performance regressions are the priority and you want a tool engineers actually open every day — fast setup, deep stack traces, and release-aware alerts. Pick Datadog when you need infrastructure metrics, logs, APM, and security signals correlated under one roof, and the buyer is a platform or SRE team that can absorb its breadth and cost.

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At a Glance

Attribute	Sentry	Datadog
Category	Monitoring	Monitoring
Pricing Model	freemium	freemium
Starting Price	Free / $26/mo	Free
Free Tier	Yes	Yes
Open Source	Yes	No
Platforms	web, mobile, backend	—

Community Popularity

Sentry

Datadog

Key Features

Sentry

error tracking
performance monitoring
session replay
release tracking
alerts
source maps
cron monitoring

Datadog

No features listed.

Pros & Cons

Sentry

Pros

Error grouping by stack trace is smart enough that similar errors aggregate instead of flooding you with thousands of separate events+178
The context captured with each error — user info, breadcrumbs, and request data — makes reproducing production bugs dramatically faster+163
Source map support means you see the original TypeScript source in the error trace instead of minified bundle line numbers+148
Performance monitoring with transaction traces shows exactly which database query or external call is causing your p99 latency spike+132
Slack and GitHub integration means the right person sees the error alert and can link it directly to a PR for context+118

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Cons

The free tier is only 5,000 errors per month — a single bad deploy can consume your entire monthly quota in minutes+159
Performance monitoring events count toward your quota separately, so you're often paying for both errors and traces which doubles the cost+138
Alert noise is a real problem if you don't spend time configuring inbound filters and alert rules early — most teams get overwhelmed and start ignoring notifications+124
Session replay is a recent addition and still less polished than LogRocket — it can miss interactions and the timeline scrubbing is rough+97