Evidence-backed comparison of Elastic APM and New Relic APM 360 across capabilities, integrations, deployment options, confidence and known limitations.
TechSelectAI compares Elastic APM and New Relic APM 360 using recorded product evidence rather than user-specific recommendation scoring. Elastic APM currently has 5 supported, 0 conditional, 3 unknown/not-yet-verified, and 0 not-supported capabilities. New Relic APM 360 currently has 5 supported, 0 conditional, 3 unknown/not-yet-verified, and 0 not-supported capabilities. Known-fact confidence is 98% for Elastic APM and 98% for New Relic APM 360. Latest recorded review or verification activity across the comparison: Sep 15, 2026.
This summary reflects recorded TechSelectAI evidence only. It is separate from buyer-specific Fit Score, Evidence Confidence, TechSelectAI Verified Reviews and Public Review Intelligence. Unknown means not yet verified, not unsupported.
Application performance monitoring for distributed tracing, service dependency mapping, performance analysis and correlated observability data across instrumented services.
Application performance monitoring for service performance, distributed tracing, dependency visibility, errors and correlated application telemetry.
Different coverage percentages can reflect how much TechSelectAI has researched and verified, not which product is better. “Research pending” means the current evidence set is incomplete; it is not evidence that the product lacks the capability.
Status and confidence reflect recorded evidence. Unknown means not yet verified, not unsupported. In the summary above, TechSelectAI labels this state “research pending”.
| Capability | Elastic APM | New Relic APM 360 |
|---|---|---|
| Application performance metricsApplication Observability | Supported98% confidenceElastic APM documents end-to-end application visibility and analysis of service performance and latency. | Supported98% confidenceNew Relic APM exposes response time, throughput, error and related application performance data. |
| Service dependency / topology visibilityApplication Observability | Supported99% confidenceElastic Service Map visualizes instrumented services and observed communication dependencies with service metrics. | Supported99% confidenceService map displays relationships among applications, databases, hosts, servers and external services. |
| Android mobile applicationMobile Access | Not Yet Verified0% confidence · native_android_appMobile availability has not yet been verified from first-party evidence. | Not Yet Verified0% confidence · native_android_appMobile availability has not yet been verified from first-party evidence. |
| iOS mobile applicationMobile Access | Not Yet Verified0% confidence · native_ios_appMobile availability has not yet been verified from first-party evidence. | Not Yet Verified0% confidence · native_ios_appMobile availability has not yet been verified from first-party evidence. |
| Mobile web accessMobile Access | Not Yet Verified0% confidence · mobile_webMobile availability has not yet been verified from first-party evidence. | Not Yet Verified0% confidence · mobile_webMobile availability has not yet been verified from first-party evidence. |
| Distributed tracingTelemetry & Diagnostics | Supported99% confidenceElastic APM distributed tracing tracks a request across multiple distributed services and components. | Supported99% confidenceNew Relic distributed tracing tracks requests and spans across distributed services. |
| Error / root-cause analysisTelemetry & Diagnostics | Supported96% confidenceElastic APM uses correlation and machine learning to surface outliers, patterns and changes associated with performance issues; this is evidence of assisted cause analysis rather than a guarantee of definitive root cause. | Supported96% confidenceErrors Inbox and APM troubleshooting provide stack, trace and contextual signals used to surface causes; specific automated analysis depends on the feature and data available. |
| Logs / metrics / traces correlationTelemetry & Diagnostics | Supported97% confidenceElastic APM describes captured and correlated service/span/request context and correlation of symptoms across observability signals. | Supported98% confidenceLogs in context links log data with APM, distributed tracing and error experiences. |
| Deployment model | Elastic APM | New Relic APM 360 |
|---|---|---|
| Public SaaS | Not recorded | Supported90% confidence |
Comparison facts, TechSelectAI analysis, community-derived insights and estimates are kept as separate evidence types. Missing evidence is not treated as proof of non-support.
Adjust the context below. Context Fit is calculated from the same published TechSelectAI evaluation signals and scoring methodology; it does not replace verified product facts or the saved project Decision Matrix.
What could change this recommendation? Confirmed requirements, must-have failures, exact integrations, regional availability, pricing, security requirements, and implementation capacity can materially change fit. For a saved, reproducible decision with custom weights, use a Selection Project.
A feature comparison is not the same as a recommendation. TechSelectAI can evaluate both products against your must-have capabilities, integrations, deployment constraints, security requirements, region and budget.
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