Dynatrace excels in AI-powered anomaly detection and automatic root cause analysis with superior code-level visibility, while New Relic offers broader observability features at a lower entry price point with more flexible data ingestion options.
Dynatrace vs New Relic — Side-by-side comparison on A Versus B
Choose Dynatrace if you need enterprise-grade AI-driven insights, automatic problem detection, and deep code-level observability for complex microservices environments. Choose New Relic if you prioritize cost-effectiveness, faster time-to-value, and prefer a simpler onboarding process for mid-market organizations.
Enterprise SaaS APM platform with AI-powered application performance monitoring and auto-instrumentation
Full-stack observability platform offering APM, infrastructure monitoring, logging, and synthetic monitoring with flexible data ingestion.
Dynatrace vs New Relic — Comparison Data
Structured comparison data for Dynatrace vs New Relic with 177 attributes.
Supported Technologies (Languages/Frameworks)
Monthly Platform Cost (100GB/month ingestion)
Mean Time to Resolution (MTTR) Improvement
Setup Time for Multi-Service Environment
Typical Enterprise Annual Cost (1000 hosts)
Total Cost of Ownership (3-year, 500GB/month ingestion)
Required Infrastructure Team Size (100 users)
Average Customer Satisfaction (G2 Rating)
Dynatrace vs New Relic — Attribute Category Vocabulary
Taxonomy of attribute categories used to classify comparison data for Dynatrace vs New Relic.
Which platform is better for small teams with limited budgets?
New Relic is significantly more cost-effective for small teams, starting at $99-199 monthly compared to Dynatrace's $300-500 entry point. New Relic also offers faster onboarding (1-2 weeks vs 3-4 weeks), reducing professional services costs. However, teams requiring automated root cause analysis without manual tuning should still consider Dynatrace's long-term ROI.
How do the AI capabilities differ between these platforms?
Dynatrace's Davis AI is fully automated—it learns your baseline behavior and proactively detects anomalies without requiring manual alert rules, performing automatic root cause analysis across your entire stack. New Relic's AI is more rule-driven and reactive, providing ML-based recommendations within a traditional alert framework. For organizations with large, complex architectures, Dynatrace's approach significantly reduces alert fatigue and mean-time-to-resolution (MTTR).
Which offers better data retention for compliance requirements?
New Relic offers 30-day data retention across all data types on its standard tier, while Dynatrace provides only 15 days for metrics (though 8 days for logs). For organizations requiring longer compliance windows, New Relic provides better value. Both platforms offer extended retention options at premium pricing, but New Relic's baseline is substantially higher.
Dynatrace's premium pricing ($2x-3x New Relic) is justified for enterprises with complex microservices, containerized environments, and high operational overhead. Customers report 40-50% MTTR reduction and significant reduction in on-call alert volume thanks to Davis AI. For small-to-mid market companies with simpler architectures, New Relic typically delivers equivalent observability at 60% lower cost.
Which platform has better Kubernetes and container support?
Dynatrace includes native Kubernetes Observer with automatic service discovery, dependency mapping, and container-level insights built-in. New Relic requires integration with Pixie for advanced Kubernetes features, adding complexity and cost. For organizations heavily invested in Kubernetes, Dynatrace's native support provides superior experience and faster insights into container performance.