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Datadog LLM Observability vs Langfuse

Quick verdict

Key difference: Langfuse is open-source while Datadog LLM Observability is proprietary; Langfuse can be self-hosted while Datadog LLM Observability is cloud-only.

Side-by-side comparison from the Agent Observability Index: licensing, self-hosting, pricing model and integrations — no vendor copy, primary sources linked.

Datadog LLM ObservabilityLangfuse
One-linerLLM and agent tracing inside the Datadog APM suite, attractive to teams already standardized on Datadog for infrastructure monitoring.Open-source (MIT) LLM engineering platform combining tracing, prompt management, evals and datasets, widely used as the default self-hosted observability stack.
CategoryObservability & TracingObservability & Tracing
OpenTelemetry-nativeYesYes
Open sourceNoYes
Self-hostableNoYes
Pricing modelpaidfreemium
Pricing notesFree up to 40k LLM spans/mo; Pro from ~$160/mo incl. 100k LLM spans, billed per span thereafterFree Hobby tier (50k units/mo); Core $29/mo, Pro $199/mo, unlimited users on paid tiers; MIT core fully self-hostable
Frameworksopenai-sdk, anthropic, langchain, amazon-bedrock, opentelemetrylangchain, openai-sdk, llamaindex, litellm, opentelemetry, vercel-ai, haystack
GitHub stars29k
Maturity (GitHub signal)— (no public repo)90/100 (Mature)
Funding / ownershipPublic company (NASDAQ: DDOG)YC W23; $4M seed (Lightspeed, La Famiglia)

How to choose

Sources: Datadog LLM Observability · Langfuse

Frequently asked questions

Is Datadog LLM Observability or Langfuse open source?

Datadog LLM Observability: No. Langfuse: Yes.

Can Datadog LLM Observability and Langfuse be self-hosted?

Datadog LLM Observability: No. Langfuse: Yes.

Datadog LLM Observability vs Langfuse: which should I choose?

Key difference: Langfuse is open-source while Datadog LLM Observability is proprietary; Langfuse can be self-hosted while Datadog LLM Observability is cloud-only.