Bugsnag vs Sentry

What Bugsnag is

Bugsnag monitors application errors and reports a stability score per release, so you can see whether a deploy made things worse. Grouping errors by release is what makes it useful in a deploy review: you can say whether the last ship raised the error rate rather than guessing. It is narrower than the full observability suites, so metrics and traces still come from somewhere else.

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.

What Bugsnag is built to do

Release health

Scores stability per release so a regression is visible after deploy.

Error grouping

Collapses duplicate exceptions into one issue with occurrence counts.

Breadcrumbs

Records the user actions leading up to an error for reproduction.

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 Bugsnag if

• Teams that ship mobile or web releases and need to know if quality is slipping.

Choose Sentry if

• Software Developers, DevOps Engineers, and Product Managers.

Bugsnag: pros & cons

• Stability scores tie errors to releases
• Good mobile SDK coverage
• Clear grouping of duplicate errors
• Event pricing climbs with traffic
• Smaller ecosystem than Sentry
• Fewer performance features

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.