Datadog APM vs New Relic

Developers should use Datadog APM when building or maintaining complex, distributed systems, especially microservices architectures, to monitor application health and troubleshoot performance issues efficiently meets developers should use new relic when building or maintaining applications that require high availability, performance optimization, and proactive issue detection, such as in e-commerce, saas, or microservices architectures. Here's our take.

Datadog APM

Nice Pick

Developers should use Datadog APM when building or maintaining complex, distributed systems, especially microservices architectures, to monitor application health and troubleshoot performance issues efficiently

Pros

• It is valuable for teams needing to reduce mean time to resolution (MTTR) by pinpointing slow database queries, external API calls, or service dependencies in production environments
• Related to: datadog, distributed-tracing

Cons

• Specific tradeoffs depend on your use case

New Relic

Developers should use New Relic when building or maintaining applications that require high availability, performance optimization, and proactive issue detection, such as in e-commerce, SaaS, or microservices architectures

Pros

• It is particularly valuable for teams adopting DevOps practices, as it integrates with CI/CD pipelines and provides actionable insights to reduce mean time to resolution (MTTR) and improve user experience through features like APM, infrastructure monitoring, and AI-powered alerts
• Related to: application-performance-monitoring, observability

Cons

• Specific tradeoffs depend on your use case

The Verdict

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

The Bottom Line

Datadog APM wins

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