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Datadog vs Sentry.io
Specializes in error tracking and performance monitoring for developers, not a full cloud observability suite.
DatadogMonitoring and security platform for cloud apps
Sentry.ioError tracking and performance monitoring for developersWhich to pick
Pick Datadog if you want…
- Unified observability and security for cloud apps
- Full-stack observability
- Integrations with Amazon Web Services, Kubernetes or OpenTelemetry (on Datadog's list, not Sentry.io's)
Pick Sentry.io if you want…
- Unified error, trace, and performance monitoring
- Error tracking for developers
- Open-source code (getsentry/sentry on GitHub)
- Integrations with Slack, Jira or Linear (on Sentry.io's list, not Datadog's)
Datadog offers broader infrastructure monitoring and security features, while Sentry focuses on application error and performance data.
Side by side
- What it is
- Datadog:Datadog is a cloud monitoring and security platform that provides observability across infrastructure, applications, logs, and security.
- Sentry.io:Sentry provides error tracking and performance monitoring with SDKs, AI debugging, and integrated alerts for developers.
- Best for
- Datadog:Unified observability and security for cloud apps
- Sentry.io:Unified error, trace, and performance monitoring
- Who it’s for
- Datadog:Developers, IT ops, and security teams managing cloud-native workloads.
- Sentry.io:Developers and software teams needing real-time error and performance insights
- Pricing
- Datadog:Freemium
- Sentry.io:Freemium
- Plans
- Datadog:AI Credits $500 per 500 credits per month · Code Coverage $8 per committer per month · Log Management $0.10 per GB ingested per month
- Sentry.io:Developer $0 · Team $26/mo per month · Business $80/mo per month
- Open source
- Datadog:—
- Sentry.io:Yes, 44,893 GitHub stars
- Works with
- Datadog:Amazon Web Services, Kubernetes, OpenTelemetry, GitHub, GitLab, Azure DevOps
- Sentry.io:GitHub, Slack, Jira, Linear, Node.js, Python, Go, Ruby
Datadog features
- Infrastructure Monitoring. Collects metrics, custom metrics, and alerts from servers, containers, and cloud services.
- Application Performance Monitoring. Tracks request latency, traces, and provides continuous profiling.
- Log Management. Ingests, parses, enriches and stores logs with flexible retention and alerting.
- Security Suite. Offers code security, vulnerability management, cloud security posture and SIEM.
- Synthetic & Real User Monitoring. Proactively tests user journeys and captures real-user performance data.
- AI-powered Bits Suite. AI agents for chat, investigation, code fixes, and custom workflow automation.
Sentry.io features
- SDK Integration. Add Sentry with a few lines of code, no agents required.
- AI Debugger (Seer). AI agent that root-causes issues and suggests fixes.
- Session Replay. Replays of user sessions to see errors in context.
- Agent Tracing. Tracks AI agent output, tool calls, and spend.
- Alerting & Notifications. Email and integrated tool alerts for incidents.
- Third-Party Integrations. Connects with GitHub, Slack, Jira, Linear and more.
Datadog vs Sentry.io FAQ
Is Datadog or Sentry.io free?+
Datadog has a free plan and paid plans. Sentry.io has a free plan (Developer); paid plans start at $26/month (Team).
Is Datadog or Sentry.io open source?+
Sentry.io is open source (getsentry/sentry on GitHub). DevHunt has no public source repository on record for Datadog.
Do Datadog and Sentry.io integrate with the same tools?+
Partly. Both list GitHub. Datadog also lists Amazon Web Services, Kubernetes, OpenTelemetry, GitLab and 1 more; Sentry.io also lists Slack, Jira, Linear, Node.js and 9 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.