Datadog offers broader integration coverage (600+ integrations vs New Relic's 400+) and lower starting prices ($15/month vs $75/month), while New Relic provides superior APM depth with 8 seconds transaction sampling and stronger Kubernetes monitoring capabilities.
Datadog vs New Relic — Side-by-side comparison on A Versus B
Choose Datadog if you need broad integration coverage, cost-effectiveness for large-scale deployments, and flexible log management pricing—ideal for multi-cloud environments and startups. Choose New Relic if you prioritize best-in-class APM instrumentation, Kubernetes-native monitoring, and faster onboarding for enterprise deployments.
Cloud-native monitoring platform for infrastructure, logs, and application performance across hybrid and multi-cloud environments.
Full-stack observability platform emphasizing application performance monitoring with AI-powered root cause analysis.
Structured comparison data for Datadog vs New Relic with 246 attributes.
APM (Application Performance Monitoring)
Default Data Retention (included in pricing)
Base Monthly Pricing (1GB/day ingestion)
Maximum Data Ingestion Per Day (Enterprise)
Typical Enterprise Annual Cost (1000 hosts)
Mid-Market Annual Cost (100GB/month ingest)
Monthly Platform Cost (100GB/month ingestion)
Mean Time to Resolution (MTTR) Improvement
Setup Time for Multi-Service Environment
Average Customer Satisfaction (G2 Rating)
Datadog vs New Relic — Attribute Category Vocabulary
Taxonomy of attribute categories used to classify comparison data for Datadog vs New Relic.
Which platform has lower total cost of ownership for a 500-user deployment?
Datadog typically has 30-40% lower TCO due to cheaper log storage ($0.10/GB vs $0.35/GB) and lower base pricing ($15 vs $75/month). For a deployment ingesting 10TB/month of logs plus APM, Datadog costs approximately $2,500/month vs New Relic's $4,200/month, a difference of $20,400 annually.
Which platform is better for Kubernetes monitoring?
New Relic edges ahead with advanced cluster intelligence, real-time pod anomaly detection, and native Kubernetes-specific dashboards. However, Datadog's 600+ integrations include specialized Kubernetes tools, making it competitive for teams already embedded in the Datadog ecosystem.
New Relic wins on speed with 3-4 day average implementation due to single-agent architecture and native cloud SDKs. Datadog averages 5-7 days but offers more customization flexibility, which appeals to organizations with complex multi-source environments.
Can I migrate from one platform to the other without data loss?
Both platforms support historical data export via APIs. Migration typically takes 2-4 weeks including agent replacement, reconfiguration of alerts, and dashboard recreation. Historical metric data older than each platform's retention limit (Datadog 15 days, New Relic 7 days free tier) will be lost unless pre-exported.
Which has better AI-powered anomaly detection?
New Relic's AI engine reports 92% accuracy for false positive reduction, while Datadog's anomaly detection uses machine learning with 85% accuracy. New Relic's advantage is narrower for custom metrics where both require training data.