Independent comparison for enterprise buyers. Updated May 2026.
Quick verdict: Choose New Relic for telemetry-ingest pricing that decouples cost from infrastructure footprint, strong APM heritage, and a simpler commercial model that suits microservices-heavy estates. Choose Dynatrace for the OneAgent collection model, the Davis causal AI engine, and deterministic AIOps for large operations and SRE teams. The differentiator is buyer economics versus AI depth: New Relic favours predictable per-GB ingest plus seats; Dynatrace favours automatic instrumentation with causal root-cause analysis.
| Criteria | New Relic | Dynatrace |
|---|---|---|
| Editorial score | 4.3 / 5.0 | 4.5 / 5.0 |
| Deployment / Hosting Model | SaaS (EU, US, FedRAMP) | SaaS plus Managed (customer-tenanted) |
| Pricing Model | Per-GB telemetry ingest plus user seats | Per Davis Data Unit and Host Unit consumption |
| Target Buyer / Best For | Engineering and SRE teams in microservices estates | Enterprise operations and SRE at scale |
| Implementation / Time to Value | Days to weeks via Infrastructure agent | Days for OneAgent rollout; weeks for full tuning |
| Customisation | NRQL, custom dashboards, programmable platform | DQL, dashboards, Notebooks; OneAgent extensibility |
| Key Strength | Telemetry-ingest pricing predictability, APM heritage | Davis causal AI and automatic topology discovery |
| Key Limitation | Cardinality penalties on custom metrics; UI density | Steeper learning curve for custom dashboarding and metric ingest |
New Relic and Dynatrace overlap substantially on observability surface area — APM, infrastructure, logs, real-user monitoring, synthetics, infrastructure metrics, and now security adjacencies — but differ in architectural philosophy and commercial model.
New Relic One consolidates all telemetry types in a single platform under NRQL (New Relic Query Language). APM is the historical strength, with mature tracing across web, mobile, and serverless workloads. Infrastructure monitoring uses a single Infrastructure agent and pre-built integrations across cloud, container, and operating-system targets. New Relic's Programmable Platform allows custom applications built on top of the data store, and CodeStream provides developer-side workflows for in-IDE telemetry consumption.
Dynatrace uses OneAgent as the primary collection mechanism. Once installed on a host, OneAgent auto-discovers processes, applications, and dependencies, producing Smartscape topology and PurePath distributed traces without manual configuration. Davis, the causal AI engine, identifies root cause deterministically and is widely regarded as the strongest out-of-the-box AIOps capability among observability Leaders. The Grail data lakehouse stores logs, traces, metrics, and events together for querying via DQL.
For AIOps, Dynatrace leads. Davis surfaces root cause with explicit causation rather than statistical anomaly detection, which suits large operations teams who want low-touch incident triage. New Relic AI offers Grok-style explanation and increasingly generative interfaces but does not match Davis on deterministic root-cause analysis.
For security and adjacencies, both have added vulnerability management. Dynatrace Application Security focuses on runtime detection inside the OneAgent footprint with strong context from Smartscape. New Relic Vulnerability Management integrates with the broader platform but is generally regarded as a lighter offering than Dynatrace's, with both lagging Datadog Cloud SIEM on breadth.
New Relic uses a telemetry-ingest model: data ingest at approximately $0.30–0.55 per GB depending on tier, plus user seats (Full Platform User at $99 per user per month, Core User at $49, Basic User free). The model is widely seen as predictable for microservices estates with many small hosts because cost tracks telemetry volume rather than infrastructure footprint. A 300-host telemetry-heavy environment typically runs $700K–1.4M annually before enterprise discount.
Dynatrace consumption is metered in Davis Data Units for ingested data and Host Units for monitored hosts. Full-stack monitoring on a typical 8GB host approximates $0.08–0.12 per hour list. A comparable 300-host estate typically runs $900K–1.8M annually. Buyer-side caveat: New Relic cardinality penalties on custom metrics can produce unexpected charges if dimension explosion is not controlled; Dynatrace's Grail-based query model can drive surprises on log-heavy or query-heavy estates. Both vendors tend to negotiate substantial discounts at enterprise scale.
Choose New Relic when telemetry-ingest pricing produces a more predictable bill for microservices-heavy architectures, when APM is the primary use case, and when user-seat economics favour the tiered Core and Basic user model. It fits engineering-led organisations with many small hosts or serverless workloads, cloud-native estates running Kubernetes at high pod density, and teams that value Programmable Platform extensibility. Existing CodeStream-led developer-experience programmes also align well with New Relic.
Choose Dynatrace when the operations or SRE team is the buying centre, when deterministic Davis-driven root cause analysis is expected to reduce mean time to repair, and when low-touch automatic instrumentation matters more than dashboard flexibility. It fits regulated industries running mixed estate including mainframe, SAP, and on-premise workloads, organisations standardising AIOps without manual rule tuning, and customers who prefer OneAgent's automatic topology discovery to manual instrumentation across many open-source agents.
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