Sentry
Error monitoring, crash reporting, and performance monitoring
Sentry has become one of the go-to solutions for error monitoring, crash reporting, and performance monitoring in modern software development. Whether you’re building mobile apps, web applications, or distributed backend services, Sentry promises to catch issues in realtime and help your team fix them fast.
In this comprehensive review, we’ll break down everything you need to know — from features to pricing, user feedback to alternatives — so you can decide if Sentry is right for your project or organization.
What Is Sentry?
Sentry is a developer-focused Error Tracking and Application Monitoring platform that captures exceptions, performance issues, crashes, and context-rich information about bugs occurring in production code. It’s widely used by engineers to gain visibility into application health, reduce downtime, and improve user experience.
Unlike general observability tools that monitor infrastructure or logs across the entire stack, Sentry is primarily focused on application-level telemetry, error context, and issue resolution workflows.
Key Features
Real-Time Error Tracking
Sentry catches errors and exceptions in real time, helping teams see where issues occur and who is affected. These errors include full stack traces, tags, user context, and environment state — making debugging faster.
Performance Monitoring
Beyond error logs, Sentry offers performance metrics like transaction tracing, slow requests, and bottleneck identification, helping teams optimize app responsiveness.
Intelligent Issue Grouping
Instead of overwhelming developers with every single failure, Sentry groups similar issues together so you can focus on what matters most.
Integrations Ecosystem
Supports hundreds of developer tools including Slack, Jira, GitHub, GitLab, PagerDuty, and more, enabling seamless alerting and workflow automation.
Custom Dashboards & Queries
Users can build custom dashboards and Discover queries to slice data by severity, user segments, tags, geography, and release versions.
Session Replay (Frontend)
A standout feature for front-end teams, session replay allows you to replay user sessions and see exactly what led to an error.
Sentry Pricing Overview
Sentry offers a tiered pricing model designed to scale from indie developers to large enterprises. Note that pricing structures can change, and data caps vary by plan.
| Plan | Who It’s Best For | Key Features |
|---|---|---|
| Developer (Free) | Solo developers / small projects | Limited events, basic error tracking |
| Team | Growing teams | More events, performance metrics, unlimited users |
| Business | Mid-sized orgs | Advanced analytics, SLAs, custom alerts |
| Enterprise | Large organizations | Custom quotas, priority support, long data retention |
Typical starting prices (subject to change):
- Team: ~$26/month
- Business: ~$80/month
- Enterprise: Custom pricing
The free tier is generous for small apps, but error volume caps and usage-based pricing can cause costs to climb if your traffic spikes.
Pros & Cons: Sentry
Pros: What Sentry Does Well
Cons: Where Sentry Falls Short
Frequently Asked Questions (FAQs)
Sentry is used to track application errors, performance issues, and crashes in realtime — helping developers find and fix bugs faster.
Yes — it supports many platforms including JavaScript, iOS, Android, Python, Node.js, and more.
Yes, the Developer (free) plan includes basic error monitoring and limited event quotas.
Absolutely — Sentry integrates with Slack, Jira, GitHub, GitLab, PagerDuty, and other productivity tools.
Sentry uses tiered subscription pricing based on event volume and features — from free through Team, Business, and Enterprise plans.
Sentry Top Alternatives
Here are 5 top alternatives to Sentry — each offering strong error tracking, performance monitoring, or observability capabilities depending on your needs:
Rollbar
One of the most direct competitors to Sentry, Rollbar provides real-time error tracking, intelligent error grouping, and customizable workflows that help development teams detect, prioritize, and resolve issues quickly. It’s designed for modern application stacks and integrates with tools like GitHub, Slack, and Jira.
Best for: Teams looking for strong error tracking with flexible alerting and integration options.
Raygun
Raygun combines error monitoring, real user monitoring (RUM), and application performance monitoring (APM) in one platform. It delivers detailed insights into crashes, performance bottlenecks, and user experience — making it a good choice if performance plus error diagnostics matter.
Best for: Applications with complex front-end and back-end performance needs.
Bugsnag
Bugsnag focuses on stability and error visibility, offering features like stability scores and session tracking that help teams understand how errors impact real users over time. Its clean dashboards and prioritization tools make debugging more intuitive.
Best for: Teams that want clear prioritization and user-centric error context.
PostHog
PostHog is an all-in-one solution that blends error tracking with product analytics, session replay, feature flags, and experimentation. This makes it appealing to teams that want to combine user behavior insights with error context.
Best for: Product analytics + error tracking in a unified platform.
Datadog
Datadog goes beyond error tracking with logs, metrics, traces, dashboards, and alerts across your entire deployment. Use it if you want one unified observability platform.
Best for: Full-stack observability spanning infrastructure and applications.