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Datadog Metrics vs New Relic

Developers should use Datadog Metrics when building or maintaining cloud-native or distributed applications that require comprehensive observability, such as microservices architectures or serverless functions, to gain insights into application behavior and resource utilization 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.

🧊Nice Pick

Datadog Metrics

Developers should use Datadog Metrics when building or maintaining cloud-native or distributed applications that require comprehensive observability, such as microservices architectures or serverless functions, to gain insights into application behavior and resource utilization

Datadog Metrics

Nice Pick

Developers should use Datadog Metrics when building or maintaining cloud-native or distributed applications that require comprehensive observability, such as microservices architectures or serverless functions, to gain insights into application behavior and resource utilization

Pros

  • +It is particularly valuable for DevOps and SRE teams needing to correlate metrics with logs and traces for root cause analysis, ensuring high availability and performance in production environments
  • +Related to: datadog-logs, datadog-apm

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 Metrics is a tool while New Relic is a platform. We picked Datadog Metrics based on overall popularity, but your choice depends on what you're building.

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The Bottom Line
Datadog Metrics wins

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

Disagree with our pick? nice@nicepick.dev