Datadog vs New Relic: Which Observability?
Datadog is a broad, modular observability platform billed per product; New Relic is a consolidated full-stack platform with usage-based pricing.
Datadog offers a huge breadth of products (infra, APM, logs, RUM, security) with deep integrations, billed per module, which is powerful but can get expensive as you add products. New Relic consolidates observability into one platform with usage-based (data ingest plus users) pricing, often simpler to reason about. Datadog favors breadth and integrations; New Relic favors a consolidated, usage-based model.
| Datadog | New Relic | |
|---|---|---|
| Model | Modular products | Consolidated platform |
| Pricing | Per product | Ingest + users |
| Integrations | Very broad | Broad |
| Breadth | Infra, APM, logs, RUM, security | Full-stack APM-led |
| Best for | Deep, modular coverage | Simpler all-in-one pricing |
Use case and pricing
Datadog suits teams wanting the broadest product set and the most integrations, accepting per-module cost growth. New Relic suits teams wanting a single platform with usage-based pricing that is easier to forecast. Both cover metrics, traces, and logs well; the cost model often drives the decision at scale.
In CI
Both ingest CI/CD metrics and deployment markers, and can track pipeline health and release events. Either integrates from managed runners, where faster runners shorten the test/build steps you are observing.
The verdict
Want the broadest, most integrated, modular observability and will manage per-product cost: Datadog. Want a consolidated full-stack platform with simpler usage-based pricing: New Relic. Both are capable; the choice frequently comes down to pricing predictability at your scale.