ToolStack

Datadog vs Sentry

Side-by-side comparison · Updated 2026-03-30

Our Verdict

Neither tool wins outright — both score 4.5/5. Your team size and delivery methodology will be the tiebreaker.

Choose Datadog if…

Choose Datadog if your team focuses on infrastructure monitoring and application performance monitoring and fits a scaleup, enterprise profile. Free tier available. Unified observability platform — infrastructure monitoring, APM, logs, RUM, synthetics, and security all in one place, reducing tool sprawl

Choose Sentry if…

Choose Sentry if your team focuses on error tracking and performance monitoring and fits a startup, scaleup profile. Starting at $26/user/mo/user/mo with a free tier. Industry-leading error tracking with intelligent issue grouping that automatically deduplicates and categorizes errors across releases

Datadog
by Datadog
4.5
out of 5 · 600 G2 reviews
Visit Datadog ↗
Sentry
by Sentry
4.5
out of 5 · 500 G2 reviews
Visit Sentry ↗

Feature Comparison

FeatureDatadogSentry
Category
monitoring
error_tracking
G2 Score
4.5 / 5.0
4.5 / 5.0
G2 Reviews
600
500
Free Tier
Starting Price
—
$26/user/mo
Mobile App
AI Features
API Access
SSO / SAML
SOC 2
Learning Curve
steep
moderate
Platforms
web, ios, android
web

Pros & Cons

Datadog

Pros
✓ Unified observability platform — infrastructure monitoring, APM, logs, RUM, synthetics, and security all in one place, reducing tool sprawl
✓ 750+ out-of-the-box integrations covering virtually every cloud service, database, framework, and DevOps tool in modern stacks
✓ Watchdog AI automatically detects anomalies and correlates issues across the entire stack, significantly reducing mean time to resolution
✓ Best-in-class custom dashboards and visualization with real-time data, enabling product teams to build business-level KPI views alongside technical metrics
Cons
✗ Costs can escalate rapidly at scale — usage-based pricing across multiple modules (hosts, logs, traces, RUM sessions) makes budgeting difficult and bills unpredictable
✗ Steep learning curve for the full platform — teams often use only a fraction of capabilities due to the breadth of features and configuration options
✗ Log management pricing per ingested GB can become prohibitively expensive for high-volume environments without aggressive filtering and exclusion rules

Sentry

Pros
✓ Industry-leading error tracking with intelligent issue grouping that automatically deduplicates and categorizes errors across releases
✓ Open-source core with a self-hosted option — rare for observability tools and ideal for teams with strict data residency requirements
✓ Broad SDK support covering 100+ platforms and languages including JavaScript, Python, Ruby, Go, Java, React Native, Flutter, and Unity
✓ Session Replay feature provides visual context alongside stack traces, dramatically reducing debugging time
Cons
✗ Event-volume pricing can become expensive at scale — high-traffic applications can burn through quotas quickly and incur overage charges
✗ Alert fatigue is common without careful tuning — default configurations generate excessive noise for large codebases
✗ Not a project management tool — requires integration with Jira, Linear, or GitHub Issues for issue tracking workflows

Frequently Asked Questions

It depends on your needs. Datadog scores 4.5/5 on G2, while Sentry scores 4.5/5. Datadog is better for infrastructure_monitoring and application_performance_monitoring, while Sentry excels at error_tracking and performance_monitoring.
Datadog starts at N/A per user/month with a free tier. Sentry starts at $26/user/mo per user/month with a free tier.
Datadog supports 750 integrations, while Sentry supports 100.
Full Datadog Review →Full Sentry Review →
Data verified 2026-03-30. Some links may be affiliate links — see disclosure.