Datadog vs Sentry
A source-aware comparison of pricing, documented capabilities and workflow fit.
Short answer
- Price: not directly comparable — Datadog is from $15/user/mo, Sentry is free tier available.
- How to start: Datadog is from $15/user/mo, Sentry is free tier available.
- Where they differ: only Datadog has mobile app and only Sentry has open source / self-hostable; both offer public api and sso (saml).
These lines are generated from the pricing we track, not from a paid placement. How we score tools.
What Datadog is
Datadog is a comprehensive monitoring and security platform for cloud-scale applications. It provides full visibility across your entire stack—from infrastructure and logs to application performance and user experience. By centralizing all your metrics into one platform, Datadog allows teams to detect performance issues, troubleshoot outages, and optimize their systems in real-time. It is the premier choice for organizations running complex, microservices-based architectures in the cloud.
What Sentry is
Sentry provides real-time error tracking and performance monitoring for your software. It notifies you exactly which line of code failed and what the user was doing at the time. Beyond bugs, it analyzes slow page loads and DB queries. Its 'Session Replay' lets you watch a video of what the user saw during the error, allowing you to solve issues in seconds.
Side by side
What Datadog is built to do
- APM (Tracing)
- Monitor every single request to find bottlenecks in your code and databases.
- Log Management
- Search and analyze all your application logs in one central, fast interface.
- Infrastructure Monitor
- Get real-time insights into the health of your servers and containers.
- Real User Monitoring
- See exactly how your frontend performs for real people around the world.
What Sentry is built to do
- Error Monitoring
- View software crashes and errors in real-time, down to the specific line of code.
- Session Replay
- Visually watch the user's session to understand exactly how an error occurred.
- Performance
- Automatically detect slow API requests and sluggish page transitions.
- Issue Linkage
- Assign errors directly to the team via integrations like Jira or GitHub.
Choose Datadog if
- DevOps Engineers and Enterprise IT Teams.
Choose Sentry if
- Software Developers, DevOps Engineers, and Product Managers.
Evidence and freshness
Where a claim on this page comes from a vendor page, it is linked here.
Datadog: pros & cons
- Single Source of Truth: Monitor your entire stack in one unified dashboard.
- Deep Visibility: Trace every request across different services for fast debugging.
- Powerful Alerts: Use AI to detect anomalies and notify your team before a crash.
- Infinite Scaling: Built to handle millions of metrics from massive server clusters.
- High Cost: Pricing can become very expensive as you scale and add more modules.
- Complexity: The sheer volume of features and data can be overwhelming at first.
- Configuration Heavy: Setting up advanced monitoring and logs requires significant effort.
Sentry: pros & cons
- Unrivaled Detection: Learn about errors before your users even have time to complain.
- Wide Support: Compatible with almost every language from Python to Swift.
- Rich Context: Provides logs, device info, and more to help you fix bugs faster.
- Performance Monitoring: Shows exactly where your application is slowing down.
- Noise Management: Can send thousands of unimportant alerts if not tuned correctly.
- Cost: Data storage costs can rise for applications with very high traffic volume.
- Setup: Properly integrating it into every part of an app takes some dedicated time.
Our verdict on Datadog
The most powerful and comprehensive monitoring tool for modern cloud-native enterprises.
Our verdict on Sentry
The best defense line for protecting user experience and speeding up the 'bug' fix cycle.