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Evidence-backed software comparison

New Relic APM 360 vs Splunk APM

Evidence-backed comparison of New Relic APM 360 and Splunk APM across capabilities, integrations, deployment options, confidence and known limitations.

TechSelectAI factual data

Comparison summary

TechSelectAI compares New Relic APM 360 and Splunk APM using recorded product evidence rather than user-specific recommendation scoring. New Relic APM 360 currently has 5 supported, 0 conditional, 3 unknown/not-yet-verified, and 0 not-supported capabilities. Splunk APM currently has 5 supported, 0 conditional, 3 unknown/not-yet-verified, and 0 not-supported capabilities. Known-fact confidence is 98% for New Relic APM 360 and 99% for Splunk APM. Latest recorded review or verification activity across the comparison: Sep 15, 2026.

Updated 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.

NR
New Relic · Observability & APM

New Relic APM 360

Application performance monitoring for service performance, distributed tracing, dependency visibility, errors and correlated application telemetry.

63% research coverage5 / 8 known facts5 supported0 conditional3 research pending0 explicitly unsupported6 verified sources98% known-fact confidence
VS
SA
Splunk · Observability & APM

Splunk APM

Application performance monitoring within Splunk Observability Cloud for service health, full-fidelity distributed tracing, dependency mapping, correlated troubleshooting and root-cause analysis.

63% research coverage5 / 8 known facts5 supported0 conditional3 research pending0 explicitly unsupported5 verified sources99% known-fact confidence
Research coverage is not a product score.

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.

Observability & APM buyer guideSoftware evidence benchmarkEvidence methodology

Capability comparison

Status and confidence reflect recorded evidence. Unknown means not yet verified, not unsupported. In the summary above, TechSelectAI labels this state “research pending”.

CapabilityNew Relic APM 360Splunk APM
Application performance metricsApplication ObservabilitySupported98% confidenceNew Relic APM exposes response time, throughput, error and related application performance data.Supported99% confidenceSplunk APM service view exposes availability plus request, error, duration, runtime and infrastructure metrics.
Service dependency / topology visibilityApplication ObservabilitySupported99% confidenceService map displays relationships among applications, databases, hosts, servers and external services.Supported99% confidenceSplunk APM Service Map dynamically displays dependencies and connections among instrumented and inferred services.
Android mobile applicationMobile AccessNot 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 AccessNot 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 AccessNot 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 & DiagnosticsSupported99% confidenceNew Relic distributed tracing tracks requests and spans across distributed services.Supported99% confidenceSplunk APM monitors distributed applications using traces composed of spans.
Error / root-cause analysisTelemetry & DiagnosticsSupported96% 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.Supported99% confidenceSplunk APM trace troubleshooting identifies bottlenecks and root-cause error spans, with AI-assisted investigation available for supported workflows.
Logs / metrics / traces correlationTelemetry & DiagnosticsSupported98% confidenceLogs in context links log data with APM, distributed tracing and error experiences.Supported98% confidenceSplunk APM documents correlation of trace data with logs and related application/infrastructure resources within Observability Cloud.

Deployment comparison

Deployment modelNew Relic APM 360Splunk APM
Public SaaSSupported90% confidenceNot recorded
Source transparency

Freshness & methodology

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.

New Relic APM 360
Last reviewed Sep 15, 2026
6 evidence sources · vendor_documentation: 6
Splunk APM
Last reviewed Sep 15, 2026
5 evidence sources · vendor_documentation: 5

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Contextual Fit

Which product fits this buyer context?

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.

1

New Relic APM 360

100% context fit

Scoring contextual-public-v1 · Published Product Evaluation not available. Review product evidence.

2

Splunk APM

100% context fit

Scoring contextual-public-v1 · Published Product Evaluation not available. Review product evidence.

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.

Independent software advice

Which product fits your company better?

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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