Cubbie Conference December 10, 2026 in San Francisco Get tickets →

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.

New Relic logo
New RelicMonitoring & Observability
Datadog logo
DatadogObservability Platforms
Deal liveOn Cubbie now

Drag a product here or start typing

New Relic logo
New Relic
Datadog logo
Datadog
Overview
TaglineIntelligent observability for the modern stackSee inside any stack, any app, at any scale, anywhere
DescriptionNew Relic is a full-stack observability platform that provides APM, infrastructure monitoring, log management, and real-user monitoring. It uses a consumption-based pricing model with 100GB of free data ingest per month.Datadog is a cloud-scale monitoring and analytics platform that provides full-stack observability for infrastructure, applications, logs, and security. It unifies metrics, traces, and logs in a single platform.
CategoryMonitoring & ObservabilityObservability Platforms
Pricing
Deal on CubbieNone right now1 year free Live now
Company
Founded20082010
Team size1,001-5,000 employees5,001-10,000 employees
HeadquartersSan Francisco, CaliforniaNew York, New York
Featured clientsHearst, Epic Games, Domino'sSamsung, Peloton, Whole Foods

Buyers also compare

Hot in AI

Rising

CRM

Field Service Management

Email Marketing

Project Management

Cloud Hosting

Email Deliverability