Rollbar
Comprehensive multi-language and framework support across 40+ SDKs
Last updated Jun 23, 2026
At a glance
About
Rollbar is a leading player in the error monitoring and debugging space, competing with both specialized error tracking tools and broader APM platforms. The company has established strong market presence among development teams seeking dedicated error monitoring solutions with deep language support and workflow integrations.
Rollbar is a real-time error monitoring and debugging platform designed to help software development teams identify, diagnose, and resolve application errors quickly. Founded in 2012, the company provides continuous code improvement tools that automatically collect, analyze, and alert developers about errors and exceptions across their entire technology stack. Rollbar's platform supports multiple programming languages and frameworks, making it a versatile solution for modern development teams. The platform serves thousands of companies worldwide, from startups to enterprise organizations, processing billions of errors monthly. Rollbar integrates seamlessly into existing development workflows, connecting with popular tools like GitHub, Jira, Slack, and PagerDuty. By providing actionable insights and detailed error diagnostics, Rollbar helps engineering teams reduce downtime, improve code quality, and accelerate deployment cycles while maintaining high application reliability and user experience standards.
Business model
B2B SaaS
Target market
Software development teams, DevOps engineers, and IT organizations across startups, mid-market companies, and enterprises requiring error monitoring and application performance management solutions
What they offer
Error Monitoring
Real-time error tracking and alerting across web, mobile, and backend applications with automatic error grouping and deduplication
Deployment Tracking
Monitor error rates before and after deployments to identify problematic releases and enable quick rollbacks
RQL (Rollbar Query Language)
Custom query language for advanced error analysis, filtering, and reporting across error data
Telemetry
Capture custom events, logs, and contextual data to understand the full user journey leading to errors
People Tracking
Associate errors with specific users to understand impact and prioritize fixes based on affected user segments
Source Maps
Automatic source map processing for JavaScript applications to provide readable stack traces from minified code
Workflow Integrations
Native integrations with issue trackers, communication tools, and CI/CD platforms for seamless workflow incorporation
Intelligent Grouping
Machine learning-powered error grouping to reduce noise and help teams focus on unique issues