Datadog is a powerful general-purpose observability platform, but LLM monitoring is a paid add-on requiring existing Datadog infrastructure. OpenLIT is purpose-built for AI engineering, open-source, and free to self-host.
| Feature | OpenLIT | Datadog LLM Observability |
|---|---|---|
| Core Architecture | ||
| OpenTelemetry-native | OTel ingestion supported; primary agent is proprietary | |
| Open Source | Apache 2.0 | |
| Self-hostable | ||
| Purpose-built for LLM / AI engineering | ||
| Free self-hosted tier | ||
| LLM Monitoring | ||
| Token usage tracking | ||
| Cost per request | ||
| Latency / p95 metrics | ||
| Prompt & response logging | ||
| 60+ integrations (LLMs, frameworks, VectorDBs, GPUs) | Limited LLM providers supported natively | |
| Custom model pricing | ||
| Infrastructure Monitoring | ||
| GPU monitoring (NVIDIA + AMD) | General GPU metrics only, not LLM-context-aware | |
| Vector DB tracing | ||
| Multi-environment tagging | ||
| Organisation management | ||
| Developer Tools | ||
| Prompt Hub (versioning) | ||
| Evaluations | Basic (LLM-as-judge) | |
| Secrets Vault | ||
| Fleet Hub (multi-deployment) | ||
| Out-of-box LLM dashboards | Requires setup / add-on | |
| Unified infra + APM + LLM observability | ||
| Pricing | ||
| Free self-hosted | ||
| No per-host agent fees | ||
| No usage-based billing (self-hosted) | ||
| LLM Observability cost | $0 (self-hosted) | Usage-based paid add-on on top of Datadog subscription |
OpenLIT