Datadog vs Sentry

A side-by-side comparison of features, pricing, and use cases to help you choose the right tool.

Datadog and Sentry are often evaluated together by teams building out their reliability stack. Datadog (cloud-scale monitoring and security platform, founded 2010) is typically a fit for DevOps Teams, SREs, and Platform Engineers, while Sentry (application error monitoring and performance management, founded 2012) leans toward Developers, Frontend Teams, and Backend Engineers. Both cover 9 of the same core capabilities, so the decision usually comes down to where they diverge.

Datadog

Cloud-scale monitoring and security platform

Pricing: Workflow runs from $10/100, API from $5/10k, Browser from $12/1k runs

Founded: 2010

Best for: DevOps Teams, SREs, Platform Engineers

Visit Datadog

Sentry

Application error monitoring and performance management

Pricing: Developer (Free - 5k errors), Team from ~$26/mo, Business from ~$80/mo

Founded: 2012

Best for: Developers, Frontend Teams, Backend Engineers

Visit Sentry

Feature Comparison

FeatureDatadogSentry
Synthetic Monitoring
Real User Monitoring
API & Browser Testing
Self-Healing Tests
AI-Powered
Uptime Monitoring
Alerting
Slack Integration
CI/CD Integration
Multi-Location Checks
SSL Monitoring
Status Page
Open Source
On-Premise / Self-Host
Free Tier
API Access
Dashboards
Incident Management

Only in Datadog

  • Synthetic Monitoring
  • API & Browser Testing
  • Multi-Location Checks
  • SSL Monitoring
  • Status Page
  • Incident Management

Only in Sentry

  • On-Premise / Self-Host

Datadog

Pros

  • + Best-in-class observability platform
  • + Massive integrations ecosystem (500+)
  • + APM, logs, metrics, traces all in one
  • + Strong enterprise compliance features

Cons

  • Expensive at scale
  • Complex pricing model
  • Steep learning curve for new teams
  • No self-healing test automation

Sentry

Pros

  • + Best-in-class error tracking with full stack traces
  • + Source map support for frontend JS
  • + AI-suggested fixes (Autofix)
  • + Easy to integrate into any stack

Cons

  • No synthetic browser or transaction monitoring
  • Pricing jumps quickly at volume
  • Error noise management needs tuning
  • Alert fatigue is common without configuration

Datadog vs Sentry: Our Verdict

On capability breadth, Datadog pulls ahead here: it uniquely offers Synthetic Monitoring, API & Browser Testing, Multi-Location Checks, and SSL Monitoring, among others. Choose Datadog if those matter to your workflow; Sentry (Developer (Free - 5k errors), Team from ~$26/mo, Business from ~$80/mo) remains a solid option if On-Premise / Self-Host is what you need.

Frequently Asked Questions

What is the main difference between Datadog and Sentry?

Datadog is cloud-scale monitoring and security platform, while Sentry is application error monitoring and performance management. Datadog adds Synthetic Monitoring, API & Browser Testing, and Multi-Location Checks on top of the shared feature set. Sentry brings On-Premise / Self-Host that Datadog does not.

How do Datadog and Sentry compare on pricing?

Datadog pricing: Workflow runs from $10/100, API from $5/10k, Browser from $12/1k runs. Sentry pricing: Developer (Free - 5k errors), Team from ~$26/mo, Business from ~$80/mo. Evaluate against your check volume and team size; entry pricing rarely reflects total cost at scale.

Which is better for DevOps Teams?

Datadog is designed with DevOps Teams, SREs, and Platform Engineers in mind, whereas Sentry targets Developers, Frontend Teams, and Backend Engineers. If your team matches the former profile, Datadog is usually the closer fit.

Can ObserveOne replace Datadog and Sentry?

No. It does a different job. Error trackers tell you an exception fired. They can't see the failures that never throw: a checkout that silently breaks, an expired SSL certificate, a page that returns 200 and renders blank. ObserveOne monitors those user-facing journeys in production; teams run it alongside an error tracker, not instead of one.

What ObserveOne adds next to Datadog and Sentry

Error trackers tell you an exception fired. They can't see the failures that never throw: a checkout that silently breaks, an expired SSL certificate, a page that returns 200 and renders blank. ObserveOne monitors those user-facing journeys in production; teams run it alongside an error tracker, not instead of one. The free tier covers enough to try it on one critical journey.

Related Comparisons

Alternatives to each tool

Each tool has its own alternatives page too, not just this matchup.

Features Both Tools Share

Real User MonitoringAI-PoweredUptime MonitoringAlertingSlack IntegrationCI/CD IntegrationFree TierAPI AccessDashboards

How we compare

  • Feature flags and pricing come from each vendor's public docs and pricing pages, last reviewed June 2026. Spot an error? Tell us and we'll fix the data.
  • ObserveOne is our product. The data is collected the same way for every tool; the recommendations are ours.