Skip to main content
HomeCompareDatadog vs New Relic

Datadog vs New Relic

A detailed comparison to help you choose the right tool for your needs.

Datadog logo

Datadog

Analytics

Try Datadog
VS
New Relic logo

New Relic

Analytics

Try New Relic

A
About Datadog

Datadog is a cloud-based monitoring and analytics platform that provides full-stack observability across infrastructure, applications, logs, and more. It's designed for DevOps engineers, SREs, and IT operations teams who need unified visibility into complex, distributed systems. The platform stands out for its ability to correlate metrics, traces, and logs in a single pane of glass, making it easier to detect and resolve issues quickly. With over 750 integrations, Datadog works seamlessly across virtually any tech stack, though its breadth of features comes with a learning curve and costs that can escalate quickly at scale.

B
About New Relic

New Relic is a full-stack observability platform that helps engineering teams monitor, debug, and optimize their entire software infrastructure. It collects telemetry data across applications, infrastructure, logs, and browser interactions, presenting it through a unified interface. The platform is built for developers, DevOps engineers, and SREs who need real-time visibility into complex distributed systems. What sets New Relic apart is its generous free tier and its shift toward a consumption-based pricing model, making enterprise-grade observability more accessible to teams of all sizes.

Pricing Comparison

Tool
Datadog
New Relic
Price
Free — From $15/host/mo
Free — From $99/mo
Category
Analytics
Analytics
Rating
4.4 (332)
4.0 (11)
Free Plan
Yes
Yes
Integrations
8+ apps
8+ apps
Founded
2010
2008

Feature Comparison

Feature
Datadog
New Relic
Real-time performance monitoring
Log management and analysis
Infrastructure metrics visualization
Application performance monitoring
Customizable dashboards and alerts
Real-time application performance monitoring
User experience tracking and analysis
Customizable dashboards and visualizations
Error tracking and reporting
Infrastructure monitoring and alerting
Distributed tracing for microservices

Choose Datadog

Datadog is a powerful analytics tool for monitoring cloud applications and infrastructure.

Try Datadog Free

Read full review

Choose New Relic

New Relic provides real-time analytics for monitoring application performance and user experience.

Try New Relic Free

Read full review

Not sure which to pick?

Get a personalized recommendation in 10 seconds.

Score Comparison

Ease of Use
7.0
7.0
Features
9.0
9.0
Pricing
6.0
6.0
Support
8.0
8.0
Integrations
9.0
9.0
Overall
7.8
7.8
DatadogNew Relic

Our Verdict

DatadogWinner

You're managing cloud applications and need robust monitoring for your infrastructure.

New Relic

Choose New Relic if your development team requires real-time application performance monitoring with advanced feature sets.

Datadog vs New Relic: The Bottom Line

Both Datadog and New Relic are strong analytics tools, but they serve different needs. Datadog has a higher user rating (4.4 vs 4.0).

Still unsure? Check the full reviews for Datadog and New Relic, explore Datadog alternatives, or use our AI search to describe exactly what you need.

Frequently Asked Questions

Is Datadog or New Relic better?

It depends on your needs. Datadog (4.4★) is free to start, while New Relic (4.0★) is free to start. Datadog has a higher user rating.

Can I switch from Datadog to New Relic?

Yes. Most SaaS tools offer data export features. Check if New Relic has a migration guide or import tool specifically for Datadog users. Many offer onboarding assistance for switchers.

Which is cheaper, Datadog or New Relic?

Both Datadog and New Relic start at $0/mo.

What are the main differences between Datadog and New Relic?

Datadog focuses on real-time performance monitoring and log management and analysis, while New Relic emphasizes real-time application performance monitoring and user experience tracking and analysis. Both are in the Analytics category but serve slightly different use cases.