Datadog LLM Observability vs New Relic AI Monitoring
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.
New Relic AI Monitoring
LLM monitoring layered onto New Relic's APM platform, billed on data ingested - which is close to the worst possible meter for verbose agent traces. One reported deployment went from $1,400 to $12,000 a month after turning it on.
| Datadog LLM Observability | New Relic AI Monitoring | |
|---|---|---|
| Category | Observability & Tracing | Observability & Tracing |
| Our rating | 3/5 | 2/5 |
| Starting price | $160/mo | $0.40/GB ingested |
| Billing meter | span | gb-ingested |
| Free plan | Yes | Yes |
| Free self-hosting | No or paid tier only | No or paid tier only |
| 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. | Organisations already standardised on New Relic for APM, logs, Kubernetes and SRE workflows, running relatively low-volume LLM features, who need correlation more than evaluation. |
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 New Relic AI Monitoring
New Relic AI Monitoring makes sense for exactly one buyer - the organisation already committed to New Relic - and is a poor choice for anyone else. The correlation story is real, and the applied intelligence and SRE agent tooling is more mature than anything the AI-native vendors offer. But two structural problems dominate. First, the billing meter is data ingested, and LLM traces are among the most verbose telemetry in existence - prompts, completions, tool payloads and retrieved context routinely make a single trace 5 to 50 KB. Charging per gigabyte for that is close to the worst possible fit, and one reported deployment saw its bill go from $1,400 to between $9,500 and $12,000 a month after AI Monitoring volumes were counted. Second, it does not evaluate anything. There is no faithfulness, relevance or hallucination scoring, and no annotation or dataset curation. It tells you what your LLM did and what it cost, not whether the output was any good. If you need evaluation, you are buying a second tool regardless.
Full New Relic AI Monitoring review →Frequently Asked Questions
What is the main difference between Datadog LLM Observability and New Relic AI Monitoring?
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. New Relic AI Monitoring: Organisations already standardised on New Relic for APM, logs, Kubernetes and SRE workflows, running relatively low-volume LLM features, who need correlation more than evaluation. 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 New Relic AI Monitoring?
It depends entirely on your workload shape, because they meter differently - Datadog LLM Observability bills on span and New Relic AI Monitoring bills on gb-ingested. Published starting prices are $160/mo and $0.40/GB ingested 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 New Relic AI Monitoring?
Datadog LLM Observability: No or paid tier only. New Relic AI Monitoring: No or paid tier only. Free self-hosting means no licence fee, not no cost - you still own the infrastructure, upgrades and on-call.