Performance Monitoring / APM
The biggest real distinction between Datadog and New Relic is straightforward: Datadog carries high lock-in while New Relic has moderate lock-in. Datadog sits at usage-based pricing starting at $15/host/mo (Infra Pro), a free tier, enterprise plan available and carries high lock-in, while New Relic sits at hybrid pricing with $0.30/GB (Standard), $49/core user, a free tier, enterprise plan available and carries moderate lock-in. Datadog is a fit when you need enterprise — typical scenarios include enterprise needing unified apm + logs + metrics. New Relic is aimed at microservices performance monitoring, with workloads like microservices performance monitoring as the common case. The honest trade-off: Datadog is explicitly not for cost-sensitive; New Relic is not intended for simple, static projects. Lock-in is the factor most teams underestimate: Datadog and New Relic have different exit paths, and that shapes total cost of ownership over a two-to-three year horizon. Before committing, audit where each tool stores state, which APIs you depend on, and how painful a switch would be six months in.
Quick take
Datadog is for enterprise; New Relic is for microservices performance monitoring; decide based on how much lock-in you can accept.
| | | |
|---|---|---|
| Category | Performance Monitoring / APM | Performance Monitoring / APM |
| Pricing Model | usage | hybrid |
| Entry Price | $15/host/mo (Infra Pro) | $0.30/GB (Standard), $49/core user |
| Free Tier | Yes | Yes |
| Billing Complexity | high | medium |
| Developer Experience | 5/5 | 5/5 |
| Pricing Transparency | 3/5 | 4/5 |
| Lock-in Level | high | medium |
| Migration Complexity | high | medium |
| Data Portability | Limited — proprietary format | Via API, OTel-compatible |
| Enterprise | Available | Available |
| GitHub Stars | — | — |
| License | — | — |
High — proprietary agent, converts OTel in within format, per-host pricing creates switching cost
Migration difficulty: high
Data you keep: Limited — proprietary format
API standard: Proprietary (andand OTel, but converts)
Risk notes: High — proprietary agent, converts OTel in within format, per-host pricing creates switching cost
💡 Plan 2-4 weeks minimum. Consider running parallel during migration
Medium — onandinon underto OpenTelemetry, OTel-fromand
Migration difficulty: medium
Data you keep: Via API, OTel-compatible
API standard: OpenTelemetry native
Risk notes: Medium — onandinon underto OpenTelemetry, OTel-fromand
💡 Moderate effort required. Export data before canceling
Choose Datadog if your primary workload is enterprise and you prefer usage-based pricing (starts at $15/host/mo (Infra Pro)).
Not for: Cost-sensitive
Choose New Relic if your primary workload is microservices performance monitoring and hybrid pricing ($0.30/GB (Standard), $49/core user) is acceptable.
Not for: Simple, Static projects
Check each tool's dedicated page for deeper reviews, setup notes, and pros/cons.
It depends on workload shape: Datadog lists $15/host/mo (Infra Pro), while New Relic lists $0.30/GB (Standard), $49/core user. With different pricing models (usage vs hybrid), the cheaper option flips based on seat count, usage volume, and whether you use the free tier. Do a per-workload estimate rather than comparing headline numbers.
Migrating from Datadog to New Relic is not trivial — Datadog has high lock-in, which typically means data formats, APIs, or stack assumptions that have to be rewritten. Since both tools sit in the same category (Performance Monitoring / APM), the conceptual mapping is closer, but you still need to validate feature parity against your specific workload. Plan migration as a project, not a script: inventory integrations, test on non-production workloads, and keep Datadog running in parallel until New Relic is verified.
Our data gives Datadog and New Relic the same developer experience score (5/5), so neither has a clear edge on DX by that measure. The differentiator is usually how each tool fits your workflow — things like CLI quality, docs, local dev loop, and error messages. The safest call is to pilot both on a representative task and see which one gets out of your way.
New Relic is in the same category as Datadog (Performance Monitoring / APM), so it's a reasonable alternative to evaluate. New Relic is aimed at microservices performance monitoring, while Datadog targets enterprise — that difference should drive the switch decision. Note that New Relic is explicitly not for simple, static projects — if that describes your workload, it's not a viable replacement.
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