Observability & APM buyer guide
Review the wider capability model, products, evaluation criteria and procurement questions for this category.
Home / Observability & APM / Error / root-cause analysis
Observability & APM · Telemetry & Diagnostics
Error / root-cause analysis
Identify errors, anomalies, bottlenecks or root causes affecting application performance.
5 products evaluated5 supported0 partial / conditional0 not yet verified0 not supportedAvg evidence confidence 97%
Product support comparison
Recorded product facts are shown separately from buyer-specific recommendation scores. “Not yet verified” means evidence is incomplete; it does not mean the product lacks the capability.
| Product | Status | Confidence | Implementation | Evidence | Limitations / notes | Last verified |
|---|---|---|---|---|---|---|
DA Dynatrace Application Observability Dynatrace | Supported | 99% | Not recorded | 1 source | Dynatrace documents AI-powered root-cause and impact analysis across application telemetry. | Sep 15, 2026 |
SA Splunk APM Splunk | Supported | 99% | Not recorded | 1 source | Splunk APM trace troubleshooting identifies bottlenecks and root-cause error spans, with AI-assisted investigation available for supported workflows. | Sep 15, 2026 |
DA Datadog APM Datadog | Supported | 97% | Not recorded | 2 sources | Trace Explorer and APM views are documented for identifying performance bottlenecks and troubleshooting errors; automated root-cause semantics vary by workflow. | Sep 15, 2026 |
EA Elastic APM Elastic | Supported | 96% | Not recorded | 2 sources | Elastic 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. | Sep 15, 2026 |
NR New Relic APM 360 New Relic | Supported | 96% | Not recorded | 2 sources | Errors Inbox and APM troubleshooting provide stack, trace and contextual signals used to surface causes; specific automated analysis depends on the feature and data available. | Sep 15, 2026 |
Buyer research paths
Use this capability as one requirement inside the wider category evidence model. The links below are research and comparison paths, not a product recommendation.
Software evidence benchmark
Understand TechSelectAI coverage, source verification and research gaps before interpreting individual capability records.
Evidence methodology
See how support status, confidence, freshness and Unknown ≠ Unsupported are handled.
How to use this comparison
Support status
Supported, conditional, unknown and not-supported states are kept distinct so missing evidence is not treated as a negative fact.
Confidence
Confidence reflects the strength of the recorded evidence for this capability, not overall product quality.
Fit for your company
A product can strongly support this capability and still be a poor overall fit due to deployment, integrations, security, region, budget or other must-haves.
Independent software advice
Need Error / root-cause analysis in your next system?
TechSelectAI can evaluate this capability together with your other must-haves, integrations, deployment constraints, security requirements, region and budget.
Evaluate software for my company