# What are the best platforms for database anomaly detection?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Looking at data on G2’s <a class="a a--md" elv="true" href="https://www.g2.com/categories/database-monitoring">Database Monitoring</a> category page, Datadog, Monte Carlo, Dynatrace, Metaplane, and Redgate Monitor surface at the top. See below for my top software list. </p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/datadog/reviews"><strong>Datadog</strong></a> – is a cloud monitoring and analytics platform with out-of-the-box anomaly detection across database metrics (e.g., query latency, connections, CPU/I/O) and ML-driven alerts to flag unusual behavior before it becomes an incident. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/monte-carlo/reviews"><strong>Monte Carlo</strong></a> – is a data &amp; AI observability platform that emphasizes alerting and incident workflows; it detects anomalies in freshness, volume, schema, and quality signals that often precede database issues impacting downstream apps and dashboards. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/dynatrace/reviews"><strong>Dynatrace</strong></a> – is an AI-powered observability suite that correlates telemetry and surfaces anomalies in database performance as part of full-stack tracing—useful for pinpointing root causes across services and DB layers. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/metaplane/reviews"><strong>Metaplane</strong></a> – is a modern data observability tool that monitors warehouses and databases for unexpected changes (freshness, null spikes, schema drift) and raises targeted anomaly alerts for data teams.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/redgate-monitor/reviews"><strong>Redgate Monitor</strong></a> – is a database monitoring solution (for SQL Server and beyond) that baselines normal behavior and alerts on anomalies like sudden waits, blocking, or resource spikes—handy for catching performance regressions early. </li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">What do you think? Based on your experiences, are there other options that I should consider? I want to know what the G2 community believes is the best option for users. Thanks!</p>

##### Post Metadata
- Posted at: 8 months ago
- Author title: Content Marketing Specialist
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;I’m really curious about how these tools handle real-world anomaly detection. If any of you have used these tools, how accurate are the alerts in practice? Do they tend to catch genuine issues or produce a lot of noise?&lt;/p&gt;

##### Comment Metadata
- Posted at: 8 months ago
- Author title: Content Marketing Specialist





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