Sentry wins on error-tracking quality and cost for error-tracking-only use; Datadog wins on breadth and vendor consolidation. Most teams run both or pick based on primary workflow.
| Feature | Sentry | Datadog |
|---|---|---|
| Error grouping quality — Sentry wins with category-leading stack-trace fingerprinting | — | — |
| Scope and breadth — Datadog wins with infra, APM, logs, RUM, synthetics in one product | — | — |
| Cost for error-tracking-only use — Sentry meaningfully cheaper | — | — |
| Self-hosted option — Sentry wins with real open-source version; Datadog SaaS only | — | — |
| Vendor consolidation — Datadog wins when replacing multiple tools | — | — |
| Feature | Sentry | Datadog |
|---|---|---|
| Error Tracking & APM | ||
| Error grouping | Stack-trace fingerprinting (category-leading) | Available in APM Error Tracking SKU |
| Performance monitoring | Integrated transaction tracing | Full APM with flame graphs and service maps |
| Profiling | Python, Node, Go, PHP, Ruby, others | Continuous Profiler across major languages |
| Release tracking | Deep: suspect commits, release health | Supported via tags and deployment markers |
| Observability Scope | ||
| Infrastructure monitoring | ❌ | Native infrastructure metrics |
| Log management | Breadcrumbs only; not for bulk logs | Full Datadog Logs SKU |
| Session replay | Native with PII scrubbing | Via RUM Session Replay add-on |
| Synthetic monitoring | ❌ | Full synthetics suite |
| Deployment & Pricing | ||
| SDK coverage | 100+ languages and frameworks | 40+ tracer-supported languages |
| Self-hosted option | Yes, open source under Apache 2.0 | No, SaaS only |
| GitHub integration | Native: suspect commits, PR links, issue sync | Available via integration |
| Billing model | Per-event (errors, spans, replays, profiles) | Per host + usage add-ons per SKU |
Error grouping
Performance monitoring
Profiling
Release tracking
Infrastructure monitoring
Log management
Session replay
Synthetic monitoring
SDK coverage
Self-hosted option
GitHub integration
Billing model
Sentry wins on error-tracking quality and cost for error-tracking-only use; Datadog wins on breadth and vendor consolidation. Most teams run both or pick based on primary workflow.
This verdict is based on general use cases. Your specific requirements, existing tech stack, and team expertise should guide your final decision.
Yes, and many teams do. The common pattern is Datadog for infrastructure monitoring, APM, and log management; Sentry for application error tracking with its superior grouping UX. Both tools accept events from the same application SDKs, so instrumentation overhead is minimal.
Yes, via the Error Tracking SKU in Datadog APM. It groups errors by stack trace fingerprint similarly to Sentry. The grouping works well for common cases, but the filtering and triage UX is less mature than Sentry's purpose-built interface.
Sentry is meaningfully cheaper for error tracking specifically. A 5-person team using Sentry pays $26/month on the Team plan. Datadog's APM plus Error Tracking for 5 hosts starts around $300/month. For large teams needing full observability, the gap narrows.
Yes, Sentry is open source under Apache 2.0. Self-hosted requires Postgres, Redis, Kafka, and ClickHouse plus the Sentry services. It is operationally heavy. For most teams the SaaS tier is cheaper than self-hosting. Datadog has no self-hosted option.