Tool Comparison · 2026 Edition

Sentry vs Datadog: Error Tracking or Full Observability?

Sentry is a developer-focused error and performance monitoring tool. Datadog is a full observability platform covering APM, logs, infrastructure, RUM, and more. They solve overlapping but distinct problems — here's which to pick.

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TL;DR

Key takeaways

Sentry started as error tracking (exception capture + stack traces) and expanded into performance monitoring, session replay, and tracing. It is beloved by developers for its DX.
Datadog is a horizontal observability platform spanning infrastructure, APM, logs, RUM, synthetics, and security — much broader scope than Sentry.
Price: Sentry is affordable at the error-tracking tier ($26–$80/month seats), expensive at the Business tier (performance + replay). Datadog is expensive from day one.
Many teams use both — Sentry for frontend errors, Datadog for infra + APM. Consolidating onto one platform (Atatus) usually saves 40–60%.

Error tracking: where Sentry excels

Sentry's grouping, breadcrumbs, source-map resolution, and release tracking are best-in-class for frontend JavaScript errors.

The SDK catalog covers every popular framework and language with ergonomic, lightweight integrations.

Session replay (bundled with Business plan) is competitive with LogRocket and FullStory for debugging user-visible issues.

Datadog has error tracking too, but it feels like a feature of APM rather than a focused product.

APM and infrastructure: where Datadog excels

Datadog APM has deeper distributed tracing, service maps, continuous profiling, and database query performance — Sentry's APM is lighter and more developer-focused.

Datadog's infrastructure monitoring, Kubernetes integration, cloud provider coverage, and 600+ integrations are far beyond Sentry.

If you need to monitor Kafka throughput, Redis latency, or an EKS cluster, Datadog is the right tool. Sentry doesn't do that.

If you need to debug a React 'Cannot read property of undefined' in production, Sentry is the right tool. Datadog can, but less cleanly.

Pricing and licensing

Sentry has a generous free tier (5k errors/month). Team plan: $26/month. Business plan: $80/month (performance + replay). Enterprise is custom.

Datadog APM: $31/host/month. Logs: $0.10/GB ingested + $1.70/million indexed. RUM: $1.50 per 1k sessions. The platform fee adds up fast.

Sentry is self-hostable (open source core, AGPL). Datadog is SaaS-only.

For a 20-service, 50-host production stack, Sentry Business runs around $5k/year; Datadog runs around $50k–$150k/year.

Atatus consolidates both roles

Atatus bundles error tracking (crash detection), APM, logs, RUM, infrastructure, and session replay in a single flat-priced plan.

You don't need Sentry for errors and Datadog for infra — Atatus delivers both at ~1/3 the combined cost.

Error grouping, release tracking, and source maps are supported for JS, Mobile, and backend languages.

Infrastructure and APM depth is sufficient for most mid-market cloud and Kubernetes workloads.

Side-by-side comparison

Sentry

Pros

Best-in-class error tracking
Great developer experience
Session replay included
Open-source core
Affordable team tier

Cons

No infrastructure monitoring
No log management
Limited APM depth
No synthetics

Pricing: Free / $26 / $80 per month per seat

Best for: Dev teams whose main pain is errors

Datadog

Pros

Full observability platform
Deep APM + infra
600+ integrations
RUM, synthetics, security

Cons

Expensive
SaaS only
Error tracking is a feature, not a product
Complex pricing

Pricing: $31/host + per-GB + per-session + more

Best for: Teams needing full observability + budget

Atatus

Pros

Error tracking + APM + logs + RUM + infra in one
Flat per-host pricing
On-prem option
Session replay included

Cons

Smaller integration catalog than Datadog

Pricing: Flat per-host, all signals included

Best for: Teams using both Sentry and Datadog today

Verdict

Sentry is the right pick if your pain is JavaScript errors and crashes and you don't need infrastructure monitoring. Datadog is the right pick for comprehensive observability if you can afford it. If you're paying for both, Atatus consolidates the two into a single flat-priced platform.