Traversal vs Datadog
Discover how Traversal's architecture enables causal reasoning at petabyte scale, compare it against Datadog's observability and AI investigation capabilities, and see how the two platforms fit together.
Traversal
A live, autonomously updating causal map of your entire production environment featuring over 100M+ entities.
Distills petabytes of telemetry by 1:1000 scale, without losing any causal signals.
Autonomously and continuously learns from your runbooks, docs, and incidents. No manual tuning or markdown files required.
A live, autonomously updating causal map of your entire production environment, featuring over 100M+ entities.
Searches 1K+ hypotheses in parallel to identify root cause across 10+ hops, featuring a <1% false positive rate.
WHY TRAVERSAL WINS
Built for causal reasoning. Not bolted onto it.
Traversal was architected from day one to reason causally across production, not as an AI add-on to an existing observability platform. Traversal's Production World Model™ maps your entire environment, so that the Causal Search Engine™ can search 1,000+ hypotheses in parallel to identify root cause.
The real test: how long from alert to accurate root cause?
Accuracy is not just pointing a team in the right direction, or handing back a list of correlated signals. It is a single, correct answer validated after testing various hypotheses, delivered fast enough to act on before the incident compounds.
Your telemetry already has the answer. Traversal finds it.
Traversal reasons over the same metrics, events, logs, and traces already flowing into your dashboards, turning raw signals into an evidence-backed root cause instead of another dashboard to stare at.
Battle-tested in mission-critical environments
“We took real customer incidents that used to take our engineers an hour or more to resolve — and Traversal’s agents were identifying root causes in under a minute.“
“We worked with Traversal to build a self-healing system for common web hosting issues like DDoS and disk errors. With 95%+ accuracy, it lets thousands of customers solve problems instantly, cutting downtime and support costs.“
“Instead of the company's engineers responding to incidents across their infrastructure manually, Traversal completes comprehensive RCA in minutes, ingesting 250 billion logs of interest every day.“
“For a F&B company, operating at Fortune 50 scale requires intelligent automation beyond traditional monitoring. Traversal’s AI SRE agents cut through this enormous complexity, automatically triaging alerts and surfacing root causes in minutes rather than hours.“
"[A key part of the] decision was because you have the BYOC product—for us, as a security-first company, that's a big plus. And we don't need to maintain extra context on our end. You handle all of that for us: building the Production World Model™, reading the documentation and other sources."
Frequently asked questions
How are Traversal and Datadog different?
Traversal reasons causally over the telemetry Datadog and your other tools already collect. Traversal does not replace your observability stack.
Datadog already has Watchdog RCA and Bits AI, why add Traversal?
Watchdog is scoped to APM and four supported cause types, and Bits AI is powered primarily by Datadog-native data. Traversal provides causal reasoning across your full, multi-vendor production environment, beyond just telemetry.
What is the difference between observability and AI SRE?
Observability surfaces signals for a human to interpret, showing a dashboard of what changed. An AI SRE reasons over those signals causally to explain why an incident happened and how to fix it.
Is Datadog Bits AI limited to Datadog data?
It is powered primarily by Datadog-native data. Its native understanding is bounded by what Datadog already collects.
Which has more accurate root cause analysis?
Across petabyte-scale enterprise production environments, Traversal reports 82%+ accurate root causes in under 5 minutes on average, where accuracy means output that produces mitigation steps.
Can Traversal deploy inside my own cloud (BYOC)?
Yes. Traversal is agentless, sidecarless, and read-only. It can run SaaS, or entirely in the customer's own environment (both BYOC/BYOM).
Can I use Traversal and Datadog together?
Yes, and most enterprises do. Datadog stays as the telemetry foundation while Traversal adds the causal reasoning layer on top as the AI SRE.