Datadog APM vs New Relic
Datadog APM and New Relic are both popular tools in the DevOps & Infrastructure space. Datadog APM uses a paid model starting at $31/mo, while New Relic is freemium from Free. New Relic offers a free tier, while Datadog APM does not. Below we break down features, pricing, strengths, and weaknesses to help you decide which tool fits your workflow best.
Last updated: July 2026
Quick Verdict
Choose Datadog APM if you want ai-powered distributed tracing and application performance monitoring.. Datadog APM's biggest strengths include best-in-class distributed tracing capabilities and ai proactively detects performance anomalies. It's also rated higher (4.5 vs 4.1). Choose New Relic if you prefer full-stack observability platform with ai-powered error analysis.. Key advantages include generous free tier with 100gb monthly data and ai assistant accelerates troubleshooting. It also has a free tier to get started.
AI-powered distributed tracing and application performance monitoring.
Full-stack observability platform with AI-powered error analysis.
| Datadog APM | New Relic | |
|---|---|---|
| Pricing | $31/mo | Free |
| Free Tier | No | Yes |
| Pricing Model | Paid | Freemium |
| Rating | ★ 4.5 | ★ 4.1 |
| Categories | DevOps & Infrastructure, Debugging & Error Fixing | DevOps & Infrastructure |
| Key Features | 6 features | 6 features |
| Feature | Datadog APM | New Relic |
|---|---|---|
| Distributed tracing across microservices | ✓ | — |
| AI-powered anomaly detection with Watchdog | ✓ | — |
| Automatic service discovery and mapping | ✓ | — |
| Code-level flame graphs for performance profiling | ✓ | — |
| Error tracking with trace correlation | ✓ | — |
| SLO monitoring and alerting | ✓ | — |
| Full-stack application performance monitoring | — | ✓ |
| New Relic AI for natural language troubleshooting | — | ✓ |
| Infrastructure and Kubernetes monitoring | — | ✓ |
| Distributed tracing and error tracking | — | ✓ |
| Real user monitoring and session replay | — | ✓ |
| 100GB free data ingest per month | — | ✓ |
Datadog APM
Pros
- + Best-in-class distributed tracing capabilities
- + AI proactively detects performance anomalies
- + Seamless integration with Datadog's full platform
- + Automatic instrumentation reduces setup effort
Cons
- − Expensive — pricing per host adds up quickly
- − Requires Datadog platform commitment
- − Complex pricing model can lead to bill surprises
New Relic
Pros
- + Generous free tier with 100GB monthly data
- + AI assistant accelerates troubleshooting
- + Full-stack visibility in a single platform
- + Strong Kubernetes and container monitoring
Cons
- − Costs increase significantly beyond free tier
- − Query language (NRQL) has a learning curve
- − Some features less mature than Datadog equivalents
The Bottom Line
Choose Datadog APM if: you want ai-powered distributed tracing and application performance monitoring.. It holds a higher user rating (4.5 vs 4.1). Keep in mind: expensive — pricing per host adds up quickly.
Choose New Relic if: you prefer full-stack observability platform with ai-powered error analysis.. It has a free tier to get started, which Datadog APM lacks. It's completely free to use. Keep in mind: costs increase significantly beyond free tier.
Both tools compete in the DevOps & Infrastructure space. The right choice depends on your specific needs, team size, and budget.
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