Oberhahn vs. New Relic
New Relic consolidates telemetry for your whole stack. Oberhahn focuses only on AI: real-time spend, context waste, and who is driving it.
New Relic is a consolidated observability platform priced on data ingest and users. It captures traces across your application stack, including model calls. Oberhahn narrows in on AI specifically, real-time cost and individual-level attribution across every team and provider. 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, attributed picture across every provider
| Feature | Oberhahn | New Relic |
|---|---|---|
| Coverage & reach | ||
| Coverage beyond instrumented apps & routed traffic | Yes | |
| Pricing & Setup | ||
| Time to first data | Minutes | |
| One-line setup | Yes | Partial |
| 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 | ||
| Autonomous & background agent visibility | Yes | |
| Unattended vs. interactive classification | Yes | No |
| Real capacity incl. background agents | Yes | No |
| 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
A consolidated telemetry platform gives you an AI line item. Oberhahn gives you a live model of the organization: which people and teams use AI, which agents run unattended, and where the next dollar goes, the Floor, the Rhythm, and the Organizational Map, updating in real time.
Then let individuals prove their impact
Oberhahn is a tool people want to be seen inside, not a top-down telemetry report. Individuals surface what they shipped with AI; managers spot champions and unowned workflows. That is how adoption and attribution compound.
- 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
New Relic is extensible for general telemetry. Oberhahn brings that openness to AI specifically: send custom events from your agents, query the underlying data, and build your own attribution views, with 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
- AI is a growing line item you cannot yet attribute
- You want interactive vs. unattended usage classified out of the box
- Individual and team AI impact should be first-class
- You use several model providers at once
Choose New Relic if you
- You want one platform for all telemetry
- You are standardized on New Relic already
- Full-stack APM is the priority over AI specifics
- Consolidated, usage-based billing is appealing
- Can the two run side by side?
- Yes. New Relic covers full-stack telemetry; Oberhahn covers AI usage, spend, and attribution. They complement rather than replace each other.
- How fast is setup versus New Relic agents?
- Oberhahn connects in minutes with a one-line setup, nothing to install inside your applications.
- Does Oberhahn do infrastructure monitoring?
- No. For hosts, containers, and network monitoring, New Relic is the right choice.
Compare it live
Connect your stack free and watch the same data run through Oberhahn and New Relic so you can decide on substance.
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