Datadog and New Relic are often evaluated together by teams building out their reliability stack. Datadog (cloud-scale monitoring and security platform, founded 2010) is typically a fit for DevOps Teams, SREs, and Platform Engineers, while New Relic (observability platform for every engineer, founded 2008) leans toward Developers, DevOps Teams, and SREs. Both cover 14 of the same core capabilities, so the decision usually comes down to where they diverge.
Cloud-scale monitoring and security platform
Pricing: Workflow runs from $10/100, API from $5/10k, Browser from $12/1k runs
Founded: 2010
Best for: DevOps Teams, SREs, Platform Engineers
Observability platform for every engineer
Pricing: Usage-based limits: Free (500 checks/mo), Standard (10k checks), Pro (1M checks)
Founded: 2008
Best for: Developers, DevOps Teams, SREs
| Feature | Datadog | New Relic |
|---|---|---|
| Synthetic Monitoring | ||
| Real User Monitoring | ||
| API & Browser Testing | ||
| Self-Healing Tests | ||
| AI-Powered | ||
| Uptime Monitoring | ||
| Alerting | ||
| Slack Integration | ||
| CI/CD Integration | ||
| Multi-Location Checks | ||
| SSL Monitoring | ||
| Status Page | ||
| Open Source | ||
| On-Premise / Self-Host | ||
| Free Tier | ||
| API Access | ||
| Dashboards | ||
| Incident Management |
Pros
Cons
Pros
Cons
On capability breadth, Datadog pulls ahead here: it uniquely offers Status Page. Choose Datadog if those matter to your workflow; New Relic (Usage-based limits: Free (500 checks/mo), Standard (10k checks), Pro (1M checks)) remains a solid option if you want a simpler, focused tool.
Datadog is cloud-scale monitoring and security platform, while New Relic is observability platform for every engineer. Datadog adds Status Page on top of the shared feature set.
Datadog pricing: Workflow runs from $10/100, API from $5/10k, Browser from $12/1k runs. New Relic pricing: Usage-based limits: Free (500 checks/mo), Standard (10k checks), Pro (1M checks). Evaluate against your check volume and team size; entry pricing rarely reflects total cost at scale.
Datadog is designed with DevOps Teams, SREs, and Platform Engineers in mind, whereas New Relic targets Developers, DevOps Teams, and SREs. If your team matches the former profile, Datadog is usually the closer fit.
ObserveOne combines synthetic monitoring with AI browser checks that adapt as your UI changes. It offers a free tier, so you can benchmark it against Datadog and New Relic directly.
ObserveOne combines AI browser checks with uptime, API, and SSL monitoring on per-run pricing. The free tier is enough to benchmark it against Datadog and New Relic directly.
Each tool has its own alternatives page too, not just this matchup.