New Relic vs Sentry: which does AI recommend?
· ChatGPT Search and Google AI Mode
Based on every AI answer that names both
Reviewed by Dimitry Apollonsky
Listed first when AI names both
Recommended when named
Warned against · lower is better
Topic by topic
Mentioned in, as a share of each topic’s answers
New Relic named more
- AI log analytics platforms for production regression analysisFar ahead
- Observability platforms for serverless and microservicesFar ahead
- Distributed request tracingFar ahead
- API monitoring with per-endpoint SLOsFar ahead
- Log aggregation with ML groupingFar ahead
- AI-powered automated dashboard generation toolsFar ahead
Sentry named more
Level: Hosted status pages, LLM cost monitoring software, CI/CD build log explanation and Production-grade NLP inference API platform
New Relic alone is ranked in AI-powered log anomaly detection, Alert baselining and suppression, Free tier infrastructure monitoring tools, Monitoring platforms with generous custom automation API access, Observability tools with noise-reducing alerting intelligence, AI log summarization, Synthetic monitoring with reusable test data and private firewalled runners, Application monitoring platforms for integrated incident management, Observability tools for batch processing, Service map and dependency visualization tools, SLO creation and tracking and Application dependency mapping.
Sentry alone is ranked in In-app feedback and bug reporting, Product analytics software with free plan, Code error message improvement, Automated code fix workflows, User behavior, heatmap, and conversion analysis, Hosted cron job scheduling, Bug tracking software for QA engineers, Affordable on-call management, Default-secure cloud infrastructure for startups, Web font performance optimization services, Project and issue tracking software and LLM hallucination and factuality evaluation.
What people ask AI about New Relic and Sentry
- Is an expensive code observability tool actually worth it for a small dev team of software engineers?New Relic usually first
- Which application monitoring platforms connect frontend errors to backend traces and deployment versions in one issue?Sentry almost always first
- Which application monitoring services support source maps session replay and release health for mobile and web apps?Sentry almost always first
- Which application monitoring tools control sampling retention and payload scrubbing while preserving enough context to reproduce failures?Sentry usually first
- best application performance monitoring for startupsSentry almost always first
- best application performance monitoring for agenciesSentry almost always first
- Which platform turns app logs into suggested fixes and rollback steps?Sentry almost always first
- Best error monitoring for modern front-end stacks?Sentry almost always first
Who AI mentions first
JunNew Relic listed first: 70%Sentry listed first: 30%
JulNew Relic listed first: 55%Sentry listed first: 45%
AugNew Relic listed first: 36%Sentry listed first: 64%
SepNew Relic listed first: 20%Sentry listed first: 80%
Oct, so farNew Relic listed first: 21%Sentry listed first: 79%
ChatGPT SearchNew Relic listed first: 31%Sentry listed first: 69%
Google AI ModeNew Relic listed first: 43%Sentry listed first: 57%
Sources cited in the comparisons
The bar’s length is this source’s share of the comparison’s claims; its parts show which brand those claims favour.
The bar’s length is this source’s share of the comparison’s claims; its parts show which brand those claims favour.
The bar’s length is this source’s share of the comparison’s claims; its parts show which brand those claims favour.
The bar’s length is this source’s share of the comparison’s claims; its parts show which brand those claims favour.
The bar’s length is this source’s share of the comparison’s claims; its parts show which brand those claims favour.
The bar’s length is this source’s share of the comparison’s claims; its parts show which brand those claims favour.
The bar’s length is this source’s share of the comparison’s claims; its parts show which brand those claims favour.
The bar’s length is this source’s share of the comparison’s claims; its parts show which brand those claims favour.
