# What are the most trusted log monitoring platforms among software engineers and DevOps teams based on user reviews?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Hi G2, I'm trying to work out which log monitoring platforms software engineers and DevOps teams actually trust, using G2 ratings and review themes. From the<a class="a a--md" elv="true" href="https://www.g2.com/categories/log-monitoring"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/log-monitoring">log monitoring</a> category, with ratings:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/dynatrace/reviews"><strong>Dynatrace</strong></a> (4.5, 1,366 reviews): trusted for Davis AI that explains root cause instead of firing a hundred alerts.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sentry/reviews"><strong>Sentry</strong></a> (4.5, 226 reviews): trusted by developers for real-time error tracking and detailed stack traces.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/grafana-labs/reviews"><strong>Grafana Labs</strong></a> (4.5, 179 reviews): trusted as a single pane across metrics, logs, and traces.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/datadog/reviews"><strong>Datadog</strong></a> (4.4, 726 reviews): trusted for unifying logs, metrics, and traces to see the whole stack.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/new-relic/reviews"><strong>New Relic</strong></a> (4.4, 586 reviews): trusted for real-time observability and distributed tracing across services.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For engineers and DevOps, which platform earned your trust in production? And did trust come from detection speed, root-cause clarity, or how it held up during an incident?</p>

##### Post Metadata
- Posted at: 16 days ago
- Author title: Marketer
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;Trust usually gets earned on the worst incident of the quarter, not during normal monitoring. I’d be interested in which of these still gave engineers a clear trail when five services started failing at once. That’s where Dynatrace’s root-cause approach or Datadog’s cross-signal view should prove whether they actually reduce investigation time.&lt;/p&gt;

##### Comment Metadata
- Posted at: 10 days ago





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