Datadog vs Sentry: Which Monitoring Tool Wins?
Datadog
Cloud monitoring and observability platform for infrastructure, APM, logs, and security in one dashboard.
Sentry
Application monitoring and error tracking for developers. Supports every major language and framework.
Feature Comparison
| Feature | Datadog | Sentry |
|---|---|---|
| Error tracking | ✓ | ✓ |
| Infrastructure monitoring | ✓ | ✗ |
| APM (Application Performance) | ✓ | ✓ |
| Log management | ✓ | ✗ |
| Session replay | ✓ | ✓ |
| Security monitoring | ✓ | ✗ |
| Full stack traces | ✗ | ✓ |
| Distributed tracing | ✓ | ✓ |
| 600+ integrations | ✓ | ✗ |
| Release tracking | ✓ | ✓ |
| Synthetics / Uptime | ✓ | ✗ |
| Cost predictability | Complex | Straightforward |
| Designed for developers | ✗ | ✓ |
Pricing & Model
| Datadog | Sentry | |
|---|---|---|
| Starting Price | $0 | $0 |
| Monetization | Subscription | Freemium |
| Category | Development | Development |
| Target Audience | DevOps and SRE teams at mid-market to enterprise companies | Developers and engineering teams who need error visibility |
Which Should You Choose?
Datadog is best for DevOps and SRE teams at mid-market to enterprise companies needing comprehensive observability across infrastructure, APM, logs, and security in one platform with 600+ integrations.
Sentry excels for developers and engineering teams who need best-in-class error tracking with full stack traces, release tracking, and session replay — without the complexity or unpredictable costs of a full observability platform.
The choice depends on scope: Datadog is a full observability suite for organizations that need to monitor everything from servers to user sessions. Sentry is purpose-built for application error monitoring — it does one thing extremely well. Many teams use both: Datadog for infrastructure, Sentry for application errors.
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