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OpenLIT vs Datadog LLM Observability

OpenLIT vs Datadog LLM Observability

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.

FeatureOpenLITDatadog LLM Observability
Core Architecture
OpenTelemetry-nativeOTel ingestion supported; primary agent is proprietary
Open SourceApache 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)
EvaluationsBasic (LLM-as-judge)
Secrets Vault
Fleet Hub (multi-deployment)
Out-of-box LLM dashboardsRequires 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

Choose OpenLIT when…

  • You want purpose-built LLM observability without the overhead of a general APM platform
  • You need to self-host for data privacy, compliance, or to avoid cloud vendor costs
  • You want Prompt Hub, Vault, and Fleet Hub included as part of your AI engineering platform
  • You prefer open standards (Apache 2.0, OpenTelemetry) over proprietary agents and lock-in
  • You want GPU monitoring that is context-aware of LLM inference, not just system-level GPU metrics

Choose Datadog LLM Observability when…

  • You are already invested in Datadog and want a single pane of glass across all infrastructure
  • You need enterprise-grade SLAs, SOC 2, HIPAA compliance, and dedicated support contracts
  • You want unified alerting across LLM, APM, infrastructure, and logs in one existing platform

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Self-host or connect your stack in minutes. Same harness UI for traces, dashboards, prompts, and evaluations.