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: March 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. It's also rated higher (4.5 vs 4.2). 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.
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 | ★ 4.5 | ★ 4.2 |
| 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. It holds a higher user rating (4.5 vs 4.2). 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. 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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