Datadog LLM Observability vs Traceloop
Both are observability & tracing tools. Here is how they actually differ on price, billing model and deployment.
Datadog LLM Observability
LLM tracing bolted onto the Datadog APM platform. Bills per LLM span rather than per trace, which is the single most misunderstood thing about it - agentic workloads can burn the 40,000-span free tier in a day.
Traceloop
The company behind OpenLLMetry, acquired by ServiceNow in March 2026 to power AI Control Tower. The Apache-2.0 SDK is safe and still actively developed - the managed platform's standalone future is the open question.
| Datadog LLM Observability | Traceloop | |
|---|---|---|
| Category | Observability & Tracing | Observability & Tracing |
| Our rating | 3/5 | 3/5 |
| Starting price | $160/mo | Custom |
| Billing meter | span | span |
| Free plan | Yes | Yes |
| Free self-hosting | No or paid tier only | Yes, free |
| Best for | Teams already standardised on Datadog for infrastructure and APM, running LLM features inside a larger system, who value one pane of glass over best-in-class eval tooling and can model their span volume accurately. | Teams that want vendor-neutral OpenTelemetry LLM instrumentation via OpenLLMetry, which is genuinely safe to adopt. The managed platform suits existing ServiceNow customers, or teams needing air-gapped deployment who can get contractual clarity on the roadmap. |
Our verdict on Datadog LLM Observability
Datadog LLM Observability is the obvious pick if Datadog is already your monitoring platform, and a poor one otherwise. The correlation story is real - being able to trace an LLM latency spike down through the service, host and database in one product is something no AI-native competitor matches. The eval tooling is competent but not the reason you would buy it. The thing that decides this product is billing. Datadog charges per LLM span, not per trace, and that distinction is where teams get hurt. A simple completion is 3 to 5 spans, but an agentic workflow with tool calls, retrieval and reasoning chains is commonly 20 to 50. Estimate your bill from requests and you will be wrong by more than an order of magnitude. Model span volume first, then decide.
Full Datadog LLM Observability review →Our verdict on Traceloop
Split this decision in two, because the SDK and the platform now carry very different risk. OpenLLMetry - the Apache-2.0 OpenTelemetry extension - is one of the safest things you can adopt in this category. It is permissively licensed, the team publicly committed it stays that way, it exports to 25+ backends including Datadog, and it remained actively maintained through the acquisition. You can instrument with it and never create a Traceloop account. The managed platform is a different question. ServiceNow acquired Traceloop in March 2026, reportedly for $60 to $80 million, and shipped the integration into AI Control Tower at Knowledge 2026 in May. The stated strategic purpose is enterprise AI governance inside ServiceNow, not an independent observability product. The site still promotes signups and nothing suggests a Helicone-style wind-down, but a standalone product whose parent bought it for a different purpose is a roadmap you do not control. Use the SDK freely. Get contractual clarity before you build on the platform.
Full Traceloop review →Frequently Asked Questions
What is the main difference between Datadog LLM Observability and Traceloop?
Datadog LLM Observability: Teams already standardised on Datadog for infrastructure and APM, running LLM features inside a larger system, who value one pane of glass over best-in-class eval tooling and can model their span volume accurately. Traceloop: Teams that want vendor-neutral OpenTelemetry LLM instrumentation via OpenLLMetry, which is genuinely safe to adopt. The managed platform suits existing ServiceNow customers, or teams needing air-gapped deployment who can get contractual clarity on the roadmap. Both sit in Observability & Tracing, so the decision usually comes down to billing model and deployment rather than raw capability.
Which is cheaper, Datadog LLM Observability or Traceloop?
It depends entirely on your workload shape, because they meter differently - Datadog LLM Observability bills on span and Traceloop bills on span. Published starting prices are $160/mo and Custom respectively, but those numbers are not comparable until you apply them to the same traffic. Use our cost calculator to model both against your own request volume and span count.
Can I self-host Datadog LLM Observability or Traceloop?
Datadog LLM Observability: No or paid tier only. Traceloop: Yes, free. Free self-hosting means no licence fee, not no cost - you still own the infrastructure, upgrades and on-call.