Datadog vs New Relic: Pricing Comparison 2026

Datadog and New Relic are the two leading full-stack observability platforms, and the decision between them often comes down to pricing model and team structure. Datadog charges per host (server or container), per user, and per product module. New Relic charges primarily based on data ingest volume, with a user-based pricing component that distinguishes between full users and basic users. For infrastructure-heavy teams running dozens or hundreds of hosts, Datadog's per-host model creates predictable costs tied to infrastructure size. Datadog Pro at $15/host/month provides core infrastructure monitoring with a 15-month metric retention window — critical for capacity planning and incident post-mortems. The enterprise tier at $23/host/month adds advanced security monitoring and higher retention. New Relic's pricing model works differently. Its 100GB/month free data ingestion covers surprisingly sophisticated monitoring for small applications, and the platform's single-pane-of-glass approach (logs, metrics, traces, errors in one query interface) avoids the per-product module fees that can make Datadog expensive as you add capabilities. New Relic's APM and browser monitoring are strong, and NRQL provides flexible ad-hoc analysis capabilities. Enterprise-scale organizations frequently choose Datadog for its operational maturity, product depth, and vendor support quality. Growing engineering teams that want comprehensive observability without complex pricing calculations often prefer New Relic's simpler data-ingest model. The practical advice: instrument a representative portion of your stack with both free tiers and compare the experience of diagnosing a real incident. The difference in how each platform surfaces correlations between metrics, traces, and logs often makes the decision obvious.