Head-to-headPublished July 16, 2026· Last verified July 16, 2026

Datadog vs New Relic (2026): LLM Observability Compared — and Where Kosmoy Fits

Datadog and New Relic both fold LLM and agent monitoring into their APM platforms. Here is how they differ — and where observing AI stops being the same as governing and containing it.

Datadog LLM Observability and New Relic AI Monitoring take the same route into AI: extend a general-purpose APM platform to trace LLM calls and agents, track token cost, and surface quality — so existing customers add AI visibility without a new vendor. Datadog has pushed harder into AI security and evaluations; New Relic has leaned on open instrumentation and a generous ingest model. For a team already on one of them, the AI module is often the path of least resistance.

This page compares them honestly, every claim cited, then asks the question a straight observability head-to-head skips: monitoring AI, and even blocking some attacks inline, is not the same as governing and containing it on the request path — which is where a self-hosted control plane like Kosmoy enters the frame.


Who each product is for

Datadog LLM Observability

Datadog LLM Observability speaks to platform, SRE and security teams already standardized on Datadog who want LLM and agent monitoring without adding a vendor. It traces prompts, retrieval, tool calls and agent decisions correlated with APM, infrastructure and RUM, tracks token usage and cost per step, and runs evaluations (LLM Experiments, built-in and custom evaluators, datasets, human review).

It goes further than most observability tools on safety: AI Guard sits inline in the app's critical path and blocks prompt injection, tool misuse and data exfiltration, and an AI Agents Console (preview) tracks org-wide usage and spend of third-party coding agents like Claude Code, Cursor and Copilot. Datadog increasingly frames the product as agent observability.

New Relic AI Monitoring

New Relic AI Monitoring speaks to engineering and SRE teams already running New Relic APM who want LLM and agent visibility folded into existing workflows. It traces LLM calls through existing APM language agents, allocates token usage and cost at the agent level, compares models across environments, and correlates end-user feedback to traces.

Its 2026 direction leans on openness and reach: OpenTelemetry/OpenLIT ingestion, a free open-source AI Coding Observability tool (Jun 2026), AI Agent Monitoring (preview) and AIM for Agentic Systems on Azure (GA committed for Oct 2026), plus a FedRAMP-authorized platform offering. New Relic is rebranding toward 'AI Observability'.


Datadog LLM Observability vs New Relic AI Monitoring vs Kosmoy — the capability radar

Three shapes on the same ten axes. Datadog (orange) and New Relic (violet) both peak on Observability & FinOps — end-to-end LLM tracing with token-cost tracking. From there they diverge sharply: Datadog reaches much further on Security, Guardrails, Testing & Evals and Agent Containment thanks to AI Guard and its eval suite, while New Relic stays closer to pure monitoring. Both sit low on Gateway, Compliance evidence and — notably — Deployment Sovereignty (SaaS-only). Kosmoy (blue) scores below Datadog on observability and evals but carries a real gateway, kernel-enforced containment and compliance evidence. Read it as area: the two APM tools own telemetry; the suite governs and contains.

  • Datadog LLM Observability
  • New Relic AI Monitoring
  • Kosmoy
Datadog LLM Observability vs New Relic AI Monitoring vs Kosmoy — capability radarCapability radar comparing Datadog LLM Observability, New Relic AI Monitoring and Kosmoy across ten axes, scored 0 to 10. AI Inventory & Discovery: Datadog LLM Observability 4, New Relic AI Monitoring 3, Kosmoy 9; Security & Shadow AI: Datadog LLM Observability 7, New Relic AI Monitoring 2, Kosmoy 8; Observability & FinOps: Datadog LLM Observability 9, New Relic AI Monitoring 8, Kosmoy 7; Gateway & Policy Control: Datadog LLM Observability 3, New Relic AI Monitoring 0, Kosmoy 8; Guardrails & Runtime Safety: Datadog LLM Observability 7, New Relic AI Monitoring 1, Kosmoy 8; Agent Containment: Datadog LLM Observability 3, New Relic AI Monitoring 0, Kosmoy 9; Compliance & Audit: Datadog LLM Observability 3, New Relic AI Monitoring 3, Kosmoy 9; Testing, Evals & Red-teaming: Datadog LLM Observability 6, New Relic AI Monitoring 2, Kosmoy 4; Agent Building: Datadog LLM Observability 4, New Relic AI Monitoring 3, Kosmoy 6; Deployment Sovereignty: Datadog LLM Observability 2, New Relic AI Monitoring 2, Kosmoy 10.246810AI Inventory &DiscoverySecurity &Shadow AIObservability &FinOpsGateway &Policy ControlGuardrails &Runtime SafetyAgentContainmentCompliance &AuditTesting, Evals &Red-teamingAgent BuildingDeploymentSovereignty
Capability scores, axis by axis
Capability (0–10)Datadog LLM ObservabilityNew Relic AI MonitoringKosmoy
AI Inventory & Discovery439
Security & Shadow AI728
Observability & FinOps987
Gateway & Policy Control308
Guardrails & Runtime Safety718
Agent Containment309
Compliance & Audit339
Testing, Evals & Red-teaming624
Agent Building436
Deployment Sovereignty2210

Bold marks the highest score on each row. 10 is reserved for categorical architectural facts; specialists are expected to outscore platforms on their own spoke.


Where Datadog LLM Observability wins

Runtime AI security. AI Guard provides inline prompt-injection, tool-misuse and exfiltration blocking — genuine runtime protection New Relic does not match, since its drop filters redact telemetry rather than block the app's live traffic.

Evaluations and agentic depth. LLM Experiments, built-in and custom evaluators, datasets and human review, plus an AI Agents Console tracking third-party coding-agent usage and spend — a deeper AI feature set than New Relic's monitoring-first product.

Full-stack correlation. LLM and agent telemetry sits alongside APM, infrastructure, RUM and security signals in one platform, so an AI incident is traceable through the whole stack.

Where New Relic AI Monitoring wins

Entry cost and predictability. A 100 GB/month free ingest applies to AI monitoring data, and consumption pricing is simpler for existing New Relic shops; Datadog's LLM Observability is billed per LLM span with opaque, third-party-reported rates and a May 2026 repricing.

Openness. OpenTelemetry/OpenLIT ingestion and a free, open-source AI Coding Observability tool give New Relic a more open, portable instrumentation story.

Public-sector reach. A FedRAMP-authorized platform offering suits US-government workloads, where Datadog's Agent Observability is unavailable on the US-FED site.


Where Kosmoy fits

The specialist owns its spoke; the platform holds the frontier

Datadog and New Relic tell you what your AI did — traces, token costs, quality signals — and Datadog's AI Guard goes further, blocking some attacks inline. That telemetry is valuable, and on tracing and evals both go deeper than Kosmoy does. But observability sits beside the request path, not on it. New Relic monitors and does not enforce; Datadog's AI Guard is SDK-inline blocking, not a gateway with model routing, RBAC and budgets, and neither runs an agent inside a sandbox it cannot escape.

Kosmoy is a control plane, not a tracing tool. Its OpenAI-compatible gateway is the enforcement point — routing, RBAC, budgets and guardrails on every call — and it monitors that governed traffic for usage, cost and quality. Around it sit the layers an observability platform leaves out: an org-wide inventory with a master agent registry, kernel-enforced Action Capsule containment, and EU AI Act / ISO 42001 (aligned) / NIST AI RMF evidence — self-hosted, unlike either SaaS-only platform.

So the honest framing is not 'Kosmoy out-traces Datadog or New Relic' — for deep LLM tracing, evals and full-stack correlation they are the specialists, and Kosmoy's observability is deliberately scoped to the traffic it governs. It is that observability is one spoke. If the requirement is to govern, enforce and contain AI as one self-hosted platform — as Kosmoy does for Banca d'Italia (Italy's central bank and banking regulator) and Leonardo (Europe's largest defence and aerospace group) — that is a control-plane decision, not an observability decision.

CapabilityCapabilityDatadogNew RelicKosmoy
End-to-end LLM / agent tracingGoverned traffic
Token-cost tracking / FinOps
Evaluations (datasets, LLM-as-judge)Response-quality onlyPartial — not the focus
Runtime guardrails (prompt injection, tool protection)AI GuardTelemetry redaction only
Full-stack APM correlation
AI/LLM gateway with routing + RBAC + budgetsAI Guard is SDK-inline, not a gateway
Kernel-enforced agent containment
Org-wide AI inventory (models, agents, MCP)Agent-usage monitoring (preview)Coding-assistant governance
EU AI Act / ISO 42001 / NIST evidence
Self-hosted / air-gappedSaaS onlySaaS only
Pricing modelPer LLM span; Datadog contractConsumption; 100 GB/mo free ingestEnterprise subscription

Last verified July 16, 2026 against each vendor's public documentation.


Which should you choose?

For a team whose problem is genuinely LLM and agent observability, pick on incumbent and depth: Datadog for the deepest AI feature set — evals, AI Guard, full-stack correlation — especially if you already run Datadog; New Relic for a lighter, more open, cost-predictable fold-in for existing New Relic APM shops. Both are strong, and either can run alongside Kosmoy.

For an enterprise that must govern, enforce and contain AI — not just observe it — the decision is between an observability platform and a control plane. Many teams do both: Datadog or New Relic for deep tracing and evals, and Kosmoy as the gateway, containment and compliance layer that governs the traffic on infrastructure they own. Kosmoy can emit telemetry to either.


Questions buyers ask

Is Datadog or New Relic better for LLM observability?

Datadog has the deeper AI feature set — AI Guard runtime protection, evaluations, an AI Agents Console and full-stack correlation — so it wins on AI depth, especially for existing Datadog customers. New Relic is lighter and more open, with OpenTelemetry breadth, a free open-source AI Coding Observability tool and a generous 100 GB/month ingest, which suits existing New Relic APM shops that want cost predictability. Match it to your incumbent and how much AI depth you need.

Do Datadog or New Relic enforce guardrails on AI traffic?

Datadog's AI Guard does inline blocking of prompt injection, tool misuse and data exfiltration — genuine runtime protection, though it is SDK-inline in the app rather than a gateway. New Relic's drop filters only redact telemetry and do not block live traffic. Neither is an LLM gateway with routing, RBAC and budgets, and neither sandboxes an agent, as of July 15, 2026. Kosmoy enforces at the gateway and contains agents in Action Capsules.

Can Datadog or New Relic help with EU AI Act compliance?

Both provide RBAC and audit trails, and New Relic adds a FedRAMP-authorized offering and drop filters for data compliance, but neither documents EU AI Act, ISO 42001 or NIST AI RMF evidence tooling for AI workloads as of July 15, 2026. Under the Digital Omnibus agreement (May 7, 2026) high-risk obligations now fall in Dec 2027 and Aug 2028, while Article 50 transparency duties remain Aug 2, 2026. Kosmoy generates that evidence from its registries and gateway logs.

Can either run self-hosted or air-gapped?

No. Both Datadog and New Relic are multi-tenant SaaS; telemetry must flow to their cloud, and neither documents a self-hosted or customer-VPC deployment of the platform as of July 15, 2026. Kosmoy runs single-tenant in your own Kubernetes, including air-gapped.

Where does Kosmoy fit against Datadog and New Relic?

Kosmoy is not a tracing or eval replacement — for deep LLM observability the two APM platforms are the specialists. Kosmoy is a control plane: an OpenAI-compatible gateway that enforces routing, RBAC, budgets and guardrails, plus kernel-enforced agent containment, an AI inventory and compliance evidence, all self-hosted. It monitors the traffic it governs and can emit telemetry to Datadog or New Relic, so the two are complementary rather than mutually exclusive.


One suite instead of two point tools

Kosmoy puts an inventory, a policy gateway, compliance evidence and a containment sandbox around every AI your teams run — in your own Kubernetes.

Or email sales@kosmoy.com.