Sentry vs Datadog for Error Tracking (2026)
Sentry is purpose-built for error tracking. Datadog is a full observability platform that includes error tracking. The choice depends on whether you need a scalpel or a Swiss army knife.
Quick Comparison
| Feature | Sentry | Datadog |
|---|---|---|
| Core focus | Error tracking | Full observability |
| Error grouping | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| Stack traces | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ |
| Session replay | ✅ | ✅ |
| Performance monitoring | ✅ (transactions) | ✅ (APM, full-stack) |
| Logs | ❌ | ✅ |
| Infrastructure monitoring | ❌ | ✅ |
| Alerting | Error-focused | Everything |
| Pricing | $26/mo (Team) | $15/host/mo + add-ons |
| Free tier | 5K errors/mo | 14-day trial |
| Open source | Yes (self-host) | No |
Sentry: The Error Tracking Specialist
What Sentry Does Best
Error grouping is unmatched. Sentry groups errors intelligently — 10,000 identical TypeError: Cannot read property 'x' of undefined errors become one issue with a count. The grouping considers stack traces, error messages, and context to avoid both over-grouping and under-grouping.
Stack traces with source maps. Upload source maps → Sentry shows exact lines of your original TypeScript/React code, not minified production code. Click a stack frame → see the code with highlighted error line and surrounding context.
Breadcrumbs. Every error includes a timeline of events leading up to it: API calls made, user clicks, console logs, navigation events. You see exactly what happened before the crash.
Release tracking. Tag errors by release version. See: "This error was introduced in v2.4.1" and "This release has a 2.3% crash rate vs 0.8% for the previous release." Instant rollback decisions.
Issue owners. Route errors to the right team member based on code ownership. Errors in /payments/ go to the payments team. Errors in /auth/ go to the platform team.
Session replay. Watch a video replay of the user's session when they hit an error. See exactly what they clicked, what they saw, and what went wrong. Eliminates "can't reproduce" issues.
Sentry Strengths
- Best error context in the industry — breadcrumbs, tags, user context, device info
- Fastest time to useful — install SDK, see errors in 5 minutes
- Framework integrations — first-class support for React, Next.js, Vue, Django, Rails, etc.
- Performance monitoring — transaction tracing tied to errors
- Self-hostable — run Sentry on your own infrastructure (open source)
- Cron monitoring — alert when scheduled jobs fail or miss their schedule
Sentry Weaknesses
- No infrastructure monitoring — can't monitor servers, containers, or cloud resources
- No log management — no centralized logging solution
- No metrics dashboards — can't build custom metric dashboards
- Limited APM — performance monitoring is good but not Datadog-level depth
Datadog: The Observability Platform
What Datadog Does Best
Everything in one place. Errors, logs, metrics, traces, infrastructure, and real user monitoring — all correlated in a single platform. When an error occurs, you see the related logs, the server metrics at that time, the distributed trace, and the infrastructure state.
Correlation is the superpower. Click an error → see the distributed trace → see the database query that was slow → see the server's CPU spike at that moment → see the deployment that caused it. This cross-cutting visibility is impossible with Sentry alone.
Infrastructure monitoring. CPU, memory, disk, network across servers, containers, and cloud services. Auto-discovery of new infrastructure. 700+ integrations (AWS, GCP, Azure, Kubernetes, Docker, databases, message queues).
Log management. Centralized logs with AI-powered pattern detection. "These 50,000 log lines represent 3 unique patterns." Search, filter, and correlate logs with errors and traces.
Custom dashboards. Build dashboards combining any metric: business metrics (revenue, signups), infrastructure metrics (CPU, latency), and application metrics (error rates, response times). One screen for everything.
Datadog Strengths
- Full-stack visibility — application, infrastructure, and business metrics
- AI features — Watchdog anomaly detection, log pattern analysis, root cause analysis
- Scale — handles massive volumes of data from large infrastructures
- Integrations — 700+ out-of-the-box integrations
- Dashboards — the best custom dashboard builder in monitoring
Datadog Weaknesses
- Error tracking is good, not best — error grouping and context aren't as refined as Sentry's
- Expensive — costs compound quickly: APM + logs + infrastructure + RUM = $50-100+/host/month
- Complexity — overwhelming for small teams. Too many features, too many configuration options
- No free tier — 14-day trial only. Sentry has a permanent free tier
- No self-hosting — fully managed only. Your data lives on Datadog's infrastructure
- Pricing surprises — usage-based billing can spike unexpectedly with traffic surges
Pricing Comparison
Small Team (5 developers, 3 servers)
| Sentry | Datadog | |
|---|---|---|
| Error tracking | $26/mo (Team) | $15/host × 3 = $45/mo (APM) |
| Logs | N/A | $0.10/GB ingested |
| Infrastructure | N/A | $15/host × 3 = $45/mo |
| Session replay | Included | $1.80/1K sessions |
| Total | $26/mo | $90+/mo |
Growth Team (15 developers, 20 servers)
| Sentry | Datadog | |
|---|---|---|
| Errors | $80/mo (Business) | Included in APM |
| APM | N/A | $31/host × 20 = $620/mo |
| Logs | N/A | ~$200/mo (estimate) |
| Infrastructure | N/A | $15/host × 20 = $300/mo |
| Total | $80/mo | $1,100+/mo |
Sentry is 10-15x cheaper — but covers only error tracking.
Decision Framework
Choose Sentry If:
- Error tracking is your primary need — you want the best error context, grouping, and developer experience
- Budget is tight — $26/mo vs $100+/mo for comparable error tracking
- Small to medium team — Sentry's focused toolset is easier to adopt
- You want self-hosting — open-source Sentry can run on your infrastructure
- You already have infrastructure monitoring — using Grafana, CloudWatch, or another tool for infra
- You're a frontend-heavy team — Sentry's session replay and browser error tracking are best-in-class
Choose Datadog If:
- You need full observability — errors + logs + metrics + traces in one platform
- Infrastructure is complex — microservices, Kubernetes, multi-cloud
- Cross-cutting correlation matters — "show me the error, its trace, the related logs, and the server metrics at that time"
- Budget allows it — Datadog's value is in the integrated platform, not individual features
- Large engineering org — shared dashboards, team-based access, compliance features
- AI-powered monitoring — Watchdog anomaly detection and AI root cause analysis
Choose Both If:
Many teams use Sentry for error tracking and Datadog for infrastructure + logs. They integrate — Sentry errors can link to Datadog traces. This gives you the best error tracking (Sentry) with full infrastructure visibility (Datadog).
Cost: Sentry Team ($26/mo) + Datadog Infrastructure ($15/host/mo) = best of both worlds at moderate cost.
FAQ
Can Datadog replace Sentry?
For error tracking specifically: Datadog is 80% as good as Sentry. If you're already paying for Datadog's full platform, its error tracking may be sufficient. If error tracking is your primary need, Sentry is better and cheaper.
Is Sentry's performance monitoring enough?
For most applications, yes. Sentry traces transactions, shows slow queries, and identifies performance bottlenecks. For complex distributed systems, Datadog's APM provides deeper distributed tracing.
Can I self-host Sentry?
Yes. Sentry is open source. Self-hosting requires Docker and moderate infrastructure management. Saves money for large teams but adds operational overhead.
What about Grafana + Loki + Tempo?
The open-source alternative to Datadog. Metrics (Prometheus), logs (Loki), traces (Tempo), dashboards (Grafana). Free, self-hosted, but requires significant setup and maintenance. Pair with Sentry for error tracking.
Which has better alerting?
Sentry for error-based alerts (crash rate thresholds, new issue alerts, regression detection). Datadog for metric-based alerts (CPU thresholds, latency percentiles, custom metrics). Both integrate with PagerDuty, Slack, and email.
Bottom Line
Sentry is the best error tracking tool. Period. If you want to know what's breaking in your application, why, and for which users — Sentry at $26/month is unbeatable.
Datadog is the best observability platform. If you need to monitor your entire stack — applications, infrastructure, logs, and metrics in one correlated view — Datadog is worth the premium.
Best of both: Sentry (errors) + Datadog (infrastructure) or Sentry (errors) + Grafana (infrastructure, free). Get the best error tracking without compromising on infrastructure visibility.