RocketGraph / Compare / Datadog
RocketGraph vs Datadog
The honest answer: they are different shapes. Datadog is a broad monitoring suite priced per GB and per host. RocketGraph is the intelligence layer — anomaly detection, pattern grouping, incident correlation, and a Slack brain — that runs on top of Datadog, or replaces its log pipeline entirely when cost or data residency matters.
| RocketGraph | Datadog | |
|---|---|---|
| Log anomaly detection | Statistical, explainable, per-pattern baselines — built in | Watchdog add-on; opaque scoring, priced separately |
| Log pattern grouping | Built in (drain-style templates + similarity clustering) | Built in (Log Patterns) |
| Incident correlation | Co-firing patterns grouped with extracted shared root cause | Manual, or via higher-tier products |
| Works on top of the other | Yes — point it at Datadog with read-only API keys | No |
| Pricing model | Free tier; flat plans; self-hosted storage removes per-GB fees | Per-GB ingestion + per-host + per-product SKUs |
| On-prem / self-hosted | Full platform runs inside your network | SaaS only |
| Slack-native Q&A | Ask production anything in natural language | Notifications and workflows, not Q&A |
| Automatic fix PRs | Yes, for mechanical fixes | No |
| OpenTelemetry ingestion | Native OTLP/HTTP + journald fleet agent | Native |
| Breadth (APM, RUM, synthetics…) | Focused on logs, errors, and incidents | Very broad product suite |
When to keep Datadog and add RocketGraph
Your dashboards, monitors, and muscle memory live in Datadog — keep them. Connect RocketGraph with read-only API keys and it adds what Datadog does not give you out of the box: statistical anomaly detection with per-pattern baselines, incident groups with extracted root causes, and natural-language answers in Slack. Setup is about five minutes and touches nothing in your Datadog account.
When to replace Datadog's log pipeline
If per-GB ingestion pricing is eating your budget, or compliance means logs cannot leave your network, point your OpenTelemetry collectors at RocketGraph's OTLP ingestion instead. Storage is Loki-backed and self-hostable, the whole platform runs on-prem, and the detection layer is identical either way.
What Datadog does that RocketGraph doesn't
Datadog is much broader: APM with distributed tracing UIs, RUM, synthetics, network monitoring, cloud security products. RocketGraph is deliberately focused on logs, errors, and incidents. If you need the whole suite, run both — that's exactly what the layered setup is for.
Try the layered setup
Start free, paste Datadog API keys, and see your own anomalies in minutes. Questions first? Read the FAQ.