// Trace & monitor
Datadog LLM Observability
Closed / commercial For developers
IN ONE PARAGRAPH
Datadog LLM Observability is trace & monitor.
Good for: Developers and teams who want to trace & monitor.
Not for: teams that require open source or self-hosting.
01How to start
- 1Read the official quick-start (link above).
- 2Install or sign up as the official guide describes.
- 3Try it on a small example before wiring it into a project.
02Alternatives & comparison
Compare side by side → langfuse 🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform. ★ 36k signoz SigNoz is an open-source, OpenTelemetry-native observability platform for your team and their AI agents. Get logs, metrics, and traces in one tool with features like APM, distributed tracing, log management, infra monitoring, etc. Combined with SigNoz MCP and a native AI teammate (in SigNoz Cloud) it helps you build more resilient apps. ★ 32k mlflow The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data. ★ 28k opik Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. ★ 23k phoenix AI Observability & Evaluation ★ 12k
03Related
Versions, why it is listed, for AI to read
For AI agents
- Interfaces：its own app or website
- Machine-readable record：/api/v1/software/datadog-llm-observability.json · llms.txt
- Added 2026-10-10