New Relic vs Datadog

If you''re standing up observability for a SaaS application, New Relic and Datadog are the two consolidated platforms most teams short-list. Both cover application performance monitoring, infrastructure metrics, logs, traces, and synthetics. The differences are pricing model, billing predictability, and the parts of the stack each does best. ## Pricing model Datadog charges by host, by ingested log gigabyte, by indexed metric, and by user. New Relic charges by user and by ingested data gigabyte (with a free tier of 100 GB per month). Datadog''s per-host model gets expensive fast in container-heavy environments. New Relic''s per-gigabyte model penalizes verbose logs but rewards careful instrumentation. The blended cost is roughly comparable for medium-sized teams; outliers at either end (very small or very large) often see 2x to 3x cost differences depending on architecture. ## What Datadog does best The infrastructure and Kubernetes layer. Datadog''s host-level integrations, network performance monitoring, and Kubernetes dashboards are widely considered best-in-class. If your engineering team spends most of its observability time inside the infrastructure layer (cluster health, network bottlenecks, hardware degradation), Datadog tends to feel more native. ## What New Relic does best The application performance monitoring (APM) story, especially for teams writing in JVM, .NET, Ruby, and Go. New Relic''s APM agents have been refined over a decade and produce richer transaction traces with less configuration. The unified billing for one ingested gigabyte across logs, metrics, and traces makes capacity planning more predictable. ## Lock-in Both platforms are heavily customized once they''re in. Custom dashboards, alerting rules, runbook integrations, and synthetic checks accumulate. Migrating between them takes 2 to 6 months for a mid-sized team, mostly spent recreating dashboards and alerts. If you adopt one, plan to stay for at least 3 years. ## How to decide If your team is Kubernetes-native and infrastructure-heavy, Datadog. If your team is application-heavy with predictable usage and tight cost requirements, New Relic. For mixed environments, run a 30-day trial on each with the same workload and compare actual monthly cost against your projected production volume. Listed pricing on either platform is not what you''ll actually pay; both negotiate down 20 to 40 percent on multi-year commits. ## What''s not here Open-source alternatives (Grafana Cloud, OpenTelemetry-based stacks, Prometheus plus Loki plus Tempo) are increasingly viable for cost-conscious teams. They require more in-house ownership but eliminate the per-gigabyte ingest cost entirely.