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Datadog vs Sentry: Which Monitoring Tool Wins?

Category: Development · Data-driven comparison · Updated 2026

Datadog

datadoghq.com
$0
Subscription

Cloud monitoring and observability platform for infrastructure, APM, logs, and security in one dashboard.

Key strength: Most comprehensive observability with 600+ integrations

Sentry

sentry.io
$0
Freemium

Application monitoring and error tracking for developers. Supports every major language and framework.

Key strength: Real-time error tracking with full stack traces

Feature Comparison

FeatureDatadogSentry
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 predictabilityComplexStraightforward
Designed for developers

Pricing & Model

DatadogSentry
Starting Price$0$0
MonetizationSubscriptionFreemium
CategoryDevelopmentDevelopment
Target AudienceDevOps and SRE teams at mid-market to enterprise companiesDevelopers 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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