Oberhahn vs. Dynatrace
Dynatrace automates root-cause across your whole estate. Oberhahn is scoped to AI: real-time spend, context waste, and who is driving it.
Dynatrace is an enterprise-grade observability suite known for automatic instrumentation and AI-assisted root-cause analysis across large environments. Its AI Observability app now traces model calls, agents, and coding tools alongside everything else. Oberhahn is narrow by design, real-time AI usage, spend, and per-person attribution. Here is how they compare.
and climbing, the point AI spend becomes a board-level line item
of AI usage runs agent-driven and unattended
to a live picture, no estate-wide rollout project
| Feature | Oberhahn | Dynatrace |
|---|---|---|
| Coverage & reach | ||
| Coverage beyond instrumented apps & routed traffic | Yes | |
| Pricing & Setup | ||
| One-line setup | Yes | |
| Security | ||
| Session-level tracing | Yes | |
| Audit logs | Yes | Yes |
| Context intelligence | ||
| Tracks repeated context | Yes | |
| Cache & efficiency insight | Yes | |
| Attribution | ||
| Per-person attribution, every tool, no manual tagging | Yes | |
| Per-team & per-model attribution | Yes | |
| Agentic & autonomous work | ||
| Unattended vs. interactive classification | Yes | No |
| Real capacity incl. background agents | Yes | |
| Runaway-agent loop detection | Yes | |
| Key-person / concentration risk | Yes | |
Straight talk for engineers: Oberhahn reports billed cash only, status means completion not quality, and interactive-vs-automated is a classification, not a judgment. No individual-hour surveillance, and no capacity baseline unless you set one.
See how your people and agents actually work
Dynatrace automates root-cause across your estate. Oberhahn answers a question it was never built for: how the organization uses AI. The Floor, the Rhythm, and the Organizational Map give you a live model of which people and agents drive usage, not a service dependency graph.
Then let individuals prove their impact
Enterprise APM measures systems; Oberhahn measures people and agents. Individuals surface what they shipped with AI, and managers spot champions and unowned workflows across teams.
- Individuals surface the work they shipped with AI
- Managers find champions and unowned, high-value workflows
- Attribution rolls up to teams, projects, and reviews
And build on an open layer, not a black box
Dynatrace is extensible for the estate. Oberhahn brings that to AI: custom events from your agents, query access to your data, and your own attribution views, with full export and no lock-in.
- Send custom events from your own agents and pipelines
- Query the underlying data via API
- Build your own views; export everything, no lock-in
Choose Oberhahn if you
- Agents run unattended and no one can see or size the work
- You need AI-specific visibility, not full-estate APM
- You want interactive vs. unattended usage classified out of the box
- Individual and team attribution should be first-class
- You want minutes-to-value without a rollout project
Choose Dynatrace if you
- You need automatic root-cause across a large enterprise estate
- Deep APM and infrastructure coverage is the priority
- You already standardize observability on Dynatrace
- AI is one small part of a much bigger monitoring need
- Can Oberhahn and Dynatrace run together?
- Yes. Dynatrace covers enterprise APM and infrastructure; Oberhahn covers AI usage, spend, and attribution. They are complementary.
- Is Oberhahn faster to deploy?
- Both can start fast for AI telemetry, Dynatrace's AI path runs over OpenTelemetry without a OneAgent rollout. Oberhahn's difference is what arrives on day one: an org-wide, per-person map rather than app traces.
- Does Oberhahn do root-cause analysis?
- No. For automated root-cause across services, Dynatrace is purpose-built. Oberhahn focuses on AI usage, spend, and attribution.
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