Rollbar vs Datadog

Developers should use Rollbar when building and maintaining production applications to quickly identify and resolve errors, reducing downtime and improving user experience meets developers should learn and use datadog when building or maintaining distributed systems, microservices architectures, or cloud-based applications that require comprehensive observability. Here's our take.

Rollbar

Nice Pick

Developers should use Rollbar when building and maintaining production applications to quickly identify and resolve errors, reducing downtime and improving user experience

Pros

• It is particularly valuable for teams practicing continuous deployment, as it provides immediate feedback on code changes and helps prioritize critical bugs
• Related to: error-monitoring, application-performance-monitoring

Cons

• Specific tradeoffs depend on your use case

Datadog

Developers should learn and use Datadog when building or maintaining distributed systems, microservices architectures, or cloud-based applications that require comprehensive observability

Pros

• It is essential for DevOps and SRE teams to monitor application performance, detect anomalies, and resolve incidents quickly, particularly in dynamic environments like AWS, Azure, or Kubernetes
• Related to: apm, infrastructure-monitoring

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Rollbar is a tool while Datadog is a platform. We picked Rollbar based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Rollbar wins

Based on overall popularity. Rollbar is more widely used, but Datadog excels in its own space.