What is Datadog LLM?

Datadog LLM Observability is a comprehensive monitoring platform designed to help teams deliver LLM applications to production faster with end-to-end tracing across AI agents, structured experiments, and robust quality and security evaluations. The platform provides complete visibility into inputs, outputs, latency, token usage, and errors across AI agent workflows. It features structured experiment management for testing prompt changes, model swaps, and parameter tuning, along with quality evaluations including hallucination detection and output clustering for drift identification. Security features include sensitive data scanning and prompt injection detection. As part of the broader Datadog platform, LLM Observability integrates seamlessly with APM and Real User Monitoring for unified full-stack visibility, allowing teams to correlate LLM workloads with backend services, infrastructure, and user sessions.

Key features

Core capabilities this platform advertises.

LLM monitoring within Datadog platform
Unified APM + LLM observability
Automatic instrumentation
Cost and token tracking
Integration with existing Datadog dashboards

Strengths and tradeoffs

What this tool does well, and the limitations to keep in mind.

Pros

Seamless integration with Datadog's full observability suite for unified application monitoring
Built-in sensitive data scanning and prompt injection detection for enhanced security
Established enterprise platform with proven reliability and 9,700+ employees globally
Automatic cost estimation for LLM requests using public pricing models
Quick setup in seconds using their SDK

Cons

Premium automatically activated at $120/day when LLM spans detected with no opt-out
Can be expensive at scale compared to specialized LLM observability tools
Requires familiarity with Datadog ecosystem for optimal usage
Per-span pricing model may become costly for high-volume applications

Common use cases

Enterprise teams already using Datadog who want to add LLM monitoring

Unified monitoring for AI and traditional services
Enterprise LLM monitoring at scale
Correlating LLM performance with infrastructure
Compliance and audit logging
Large-scale production monitoring

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Best Datadog LLM alternatives & competitors

Top companies in Observability, Prompts & Evals you can use instead of Datadog LLM.

Respan

Nested traces for every LLM call, tool run, and agent turn

Datadog LLM: Observability, Prompts & Evals