Dynatrace vs New Relic
Dynatrace and New Relic are both evaluated in the CIOPages Observability & APM Platforms Buyer's Guide. The guide groups Dynatrace under AI & Autonomous and New Relic under Consumption Model.
| Attribute | Dynatrace | New Relic |
|---|---|---|
| Approach | AI & Autonomous | Consumption Model |
| Best for | Large enterprises that prize automated, causal root-cause analysis and low-touch instrumentation over à la carte flexibility | Mid-market and developer-focused teams that want strong APM with usage-based pricing and a low-friction, free-tier on-ramp |
From the Observability & APM Platforms Buyer's Guide, updated June 2026. 8 vendors evaluated.
Dynatrace
Davis names the precise root cause across a live dependency map rather than flagging a deviating metric, and that determinism is what you are paying for: OneAgent auto-instruments with minimal manual effort, the Grail data lakehouse stores and queries logs, metrics, traces, and events without predefined schemas, native OpenTelemetry ingestion sits alongside the agent, and the platform is pushing toward preventive, agentic operations. Positioning is premium and configuration carries weight at large scale. The consumption-based Dynatrace Platform Subscription, billed across host-hours, memory, and data, rewards careful modeling as costs track footprint and retention closely, and it is less flexible than Datadog for highly custom use cases.
New Relic
Start free and stay competitive at mid-market scale, but check the per-user line before you commit: a long APM heritage paired with a simplified consumption model billing on data ingested plus billable users, a genuinely generous free tier at 100GB of ingest a month, strong developer experience, and full-stack coverage on one telemetry database. It is now privately held under Francisco Partners and TPG, so track roadmap and support investment under PE ownership. That per-user line can surprise large teams even when ingest looks cheap, platform breadth trails Datadog, and AIOps trails Dynatrace.
Also evaluated in this guide
Chronosphere, Datadog, Elastic Observability, Grafana Labs, Honeycomb, Splunk Observability
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Editors choose the vendors and write the evaluations. Paying CIOPages does not change how a vendor is covered. Editorial policy