Sentry vs LogRocket: Error Monitoring Comparison

Sentry and LogRocket both help you understand what goes wrong in your application, but they approach the problem from different angles. Sentry is primarily an error tracking platform — it captures exceptions, stack traces, and performance data to help developers identify and fix bugs. LogRocket is primarily a session replay platform — it records user sessions as video-like replays so you can see exactly what happened before, during, and after an error.

Sentry was founded in 2012 as an open-source error tracking tool and has grown into the leading error monitoring platform, used by over 100,000 organisations including Microsoft, Disney, and GitHub. It captures errors across frontend, backend, and mobile platforms with deep stack trace analysis, error grouping, and release tracking.

Logrocket launched in 2016 with session replay as its core feature. It records DOM changes, network requests, console logs, and user interactions, allowing you to replay any user session to understand exactly what happened. LogRocket also includes error tracking, but its differentiator is the visual context that session replay provides around errors.

Sentry's error tracking is the most thorough available. When an error occurs, Sentry captures the full stack trace, breadcrumbs (a trail of events leading to the error), user context, device information, and release version. Errors are automatically grouped into issues based on stack trace similarity, so 10,000 occurrences of the same bug appear as one issue rather than 10,000 separate alerts.

Sentry's issue detail page provides everything needed to diagnose a bug: the stack trace with source maps applied, the sequence of user actions and API calls that preceded the error, the specific release that introduced the issue, and the number of affected users. Release tracking shows whether a new deployment introduced regressions, and the suspect commits feature identifies the specific code changes likely responsible.

Logrocket includes error tracking but with less depth. Errors are captured and grouped, but the analysis tools are less sophisticated than Sentry's. LogRocket's strength is that you can watch a session replay of the error occurring, which provides visual context that stack traces alone cannot convey. For errors that are difficult to reproduce, this visual context can be more valuable than detailed stack trace analysis.

LogRocket's session replay records user sessions as DOM snapshots and events, allowing you to watch a pixel-perfect reconstruction of what the user saw and did. Mouse movements, clicks, scrolls, form inputs, page navigations, and console output are all captured. Network requests show timing, headers, and response bodies. This creates a complete picture of the user's experience.

Session replay is particularly valuable for debugging issues that are difficult to reproduce — intermittent layout bugs, race conditions that depend on user interaction timing, or errors that occur only with specific data combinations. Instead of guessing what happened, you watch the session and see exactly what the user experienced. Product teams also use session replay for usability analysis and conversion funnel optimisation.

Sentry has added session replay as a feature, though it launched later than LogRocket's and is less mature. Sentry's replay captures DOM snapshots and user interactions, providing visual context alongside error data. For teams that primarily need error tracking with occasional session replay for context, Sentry's integrated replay may be sufficient. For teams that rely heavily on session replay for product analysis and debugging, LogRocket's more established replay is more capable.

Sentry's performance monitoring tracks transaction durations, database query times, and web vitals (LCP, FID, CLS). You can trace a request from the browser through your API to the database and identify where time is spent. Distributed tracing connects frontend and backend spans, showing the full lifecycle of user-initiated operations. This is valuable for identifying slow API endpoints, inefficient database queries, and frontend rendering bottlenecks.

Logrocket provides performance metrics as part of session replay — you can see network request timings, page load times, and frontend rendering performance within the context of individual sessions. The data is useful for understanding specific user experiences but less powerful for aggregate performance analysis across thousands of requests.

For systematic performance optimisation — identifying the slowest API endpoints, tracking performance trends across releases, and setting performance budgets — Sentry's dedicated performance monitoring is substantially more capable. LogRocket's performance data is session-level context rather than an infrastructure monitoring tool.

Sentry's Developer plan is free for a single user with limited event volume. The Team plan starts at $26 per month for 50,000 errors and 100,000 performance transactions. The Business plan at $80 per month adds more volume, advanced features, and priority support. Session replay is available as an add-on. Sentry's pricing scales with event volume, so costs increase with application traffic.

Logrocket's free tier includes 1,000 sessions per month. The Team plan starts at $99 per month for 10,000 sessions. The Professional plan at $250 per month includes 25,000 sessions and advanced features. Session volume is the primary cost driver — high-traffic applications consume sessions quickly.

Sentry is significantly cheaper for error tracking alone. LogRocket is more expensive because session replay requires storing and processing substantially more data than error events. For a team that primarily needs error tracking, Sentry's Team plan at $26 per month provides excellent value. For a team that relies on session replay for debugging and product analysis, LogRocket's higher cost reflects the richer data collection.

Sentry supports over 100 platforms — JavaScript, Python, Ruby, Go, Java, .NET, PHP, Rust, iOS, Android, Flutter, React Native, and many more. It integrates with Slack, Jira, GitHub, GitLab, PagerDuty, and most development workflow tools. Sentry's breadth of platform support means you can use it for your entire stack — frontend errors, backend exceptions, mobile crashes, and serverless function failures — all in one dashboard.

Logrocket primarily targets web applications (JavaScript/TypeScript frontends). It supports React, Angular, Vue, and vanilla JavaScript. Mobile support is available for React Native and iOS. Backend error tracking requires forwarding errors to LogRocket's API. The platform coverage is narrower than Sentry's, reflecting LogRocket's focus on session replay, which is primarily a frontend feature.

For full-stack error monitoring across multiple platforms and services, Sentry's breadth is a decisive advantage. For frontend-focused teams building web applications, LogRocket provides deeper session-level insight at the cost of narrower platform coverage.

For most applications, start with Sentry. It provides thorough error tracking, performance monitoring, and basic session replay at a lower price point than LogRocket. Sentry's platform breadth means one tool covers your entire stack — frontend, backend, and mobile — with consistent error grouping and release tracking across all services.

Add LogRocket if your team relies on session replay for debugging or product analysis. The visual context of watching a user encounter a bug is uniquely valuable for issues that are difficult to reproduce from stack traces alone. Product teams and UX researchers also benefit from LogRocket's session replay for understanding user behaviour beyond error scenarios.

Running both tools simultaneously is common. Sentry handles error tracking, alerting, and performance monitoring across the full stack. LogRocket provides session replay for frontend debugging and product insight. The tools can integrate — LogRocket can send error data to Sentry, and Sentry can link to LogRocket session replays. This combination provides thorough monitoring at a higher total cost but with each tool operating in its area of strength.