Datadog vs New Relic
Datadog and New Relic are both popular tools in the DevOps & Infrastructure space. Both use a freemium pricing model, with Datadog starting at Free and New Relic at Free. Both offer a free tier to get started. 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 if you want unified observability and security platform with ai-powered insights.. Datadog's biggest strengths include most comprehensive observability platform available and ai-powered insights reduce mean time to resolution. 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's also rated higher (4.1 vs 4.0).
Unified observability and security platform with AI-powered insights.
Full-stack observability platform with AI-powered error analysis.
| Datadog | New Relic | |
|---|---|---|
| Pricing | Free | Free |
| Free Tier | Yes | Yes |
| Pricing Model | Freemium | Freemium |
| Rating | ★ 4.0 | ★ 4.1 |
| Categories | DevOps & Infrastructure | DevOps & Infrastructure |
| Key Features | 6 features | 6 features |
| Feature | Datadog | New Relic |
|---|---|---|
| Infrastructure and application performance monitoring | ✓ | — |
| AI-powered anomaly detection and alerting | ✓ | — |
| Log management and analytics | ✓ | — |
| Distributed tracing across microservices | ✓ | — |
| Bits AI assistant for natural language queries | ✓ | — |
| 800+ integrations with cloud services and tools | ✓ | — |
| 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
Pros
- + Most comprehensive observability platform available
- + AI-powered insights reduce mean time to resolution
- + Massive integration ecosystem (800+ integrations)
- + Unified platform eliminates tool sprawl
Cons
- − Pricing can escalate quickly with data volume
- − Steep learning curve for the full platform
- − Cost optimization requires careful planning
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 if: you want unified observability and security platform with ai-powered insights.. It's completely free to use. Keep in mind: pricing can escalate quickly with data volume.
Choose New Relic if: you prefer full-stack observability platform with ai-powered error analysis.. It's completely free to use. It holds a higher user rating (4.1 vs 4.0). 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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