Galileo vs Langfuse

Detailed side-by-side comparison to help you choose the right tool

Galileo

🔴Developer

AI Evaluation

Galileo review 2026: enterprise AI evals, observability, guardrails, and Luna evaluator models for RAG and agents — features, pricing, pros, cons.

Was this helpful?

Starting Price

Custom

Langfuse

🔴Developer

LLM Observability

Langfuse is an open-source LLM observability and engineering platform providing tracing, prompt management, evaluations, and dataset management for production AI applications.

Was this helpful?

Starting Price

Free

Feature Comparison

Scroll horizontally to compare details.

FeatureGalileoLangfuse
CategoryAI EvaluationLLM Observability
Pricing Plans285 tiers38 tiers
Starting PriceFree
Key Features
  • Automated hallucination detection using proprietary ChainPoll methodology
  • Real-time production monitoring for LLM applications with custom alerting
  • RAG pipeline evaluation covering both retrieval and generation quality
  • Hierarchical Tracing & Agent Debugging
  • Production Prompt Management & Versioning
  • LLM-as-Judge Evaluation Framework

Galileo - Pros & Cons

Pros

  • Luna evaluators are dramatically cheaper than LLM-as-judge — eval coverage can stay on in production
  • End-to-end coverage: evals + traces + guardrails + agent root-cause from one vendor
  • Strong enterprise compliance posture (VPC, audit, SSO) suitable for regulated industries

Cons

  • No public pricing — every conversation starts with sales, which slows POC adoption
  • Heavier and more opinionated than open-source [/tools/langfuse](/tools/langfuse) or [/tools/arize-phoenix](/tools/arize-phoenix) — early-stage teams may find it overkill
  • Luna evaluators are proprietary — verify quality on your domain before assuming they replace LLM-judge in your stack

Langfuse - Pros & Cons

Pros

  • Open source with free self-hosting — full feature parity without usage limits
  • Free Hobby tier on cloud with no credit card — lowest barrier to entry in the category
  • Trace graphs for multi-agent systems are genuinely useful for debugging complex failures
  • Prompt management + evals turns prompt engineering into a systematic, measurable process
  • 40,000+ builders using it — extensive community resources and integrations
  • Integrates natively with LangChain, LlamaIndex, OpenAI SDK, and Anthropic

Cons

  • Pro plan units pricing ($8/100k) can add up for high-volume production applications
  • Enterprise SSO requires the $300/month Teams add-on on top of Pro — costly for mid-size teams
  • Self-hosting requires Docker/Kubernetes operational knowledge
  • UI can feel overwhelming for teams who just want simple cost/latency dashboards
  • Real-time alerting features are less developed than commercial-first alternatives like Arize
  • Enterprise tier at $2,499/month is priced for large organizations — no mid-market option

Not sure which to pick?

🎯 Take our quiz →

🔒 Security & Compliance Comparison

Scroll horizontally to compare details.

Security FeatureGalileoLangfuse
SOC2✅ Yes
GDPR✅ Yes
HIPAA✅ Yes
SSO✅ Yes
Self-Hosted
On-Prem✅ Yes
RBAC✅ Yes
Audit Log✅ Yes
Open Source✅ Yes
API Key Auth✅ Yes
Encryption at Rest✅ Yes
Encryption in Transit✅ Yes
Data ResidencyUS, EU, SELF-HOSTED
Data Retentionconfigurable
🦞

New to AI tools?

Read practical guides for choosing and using AI tools

🔔

Price Drop Alerts

Get notified when AI tools lower their prices

Tracking 2 tools

We only email when prices actually change. No spam, ever.

Get weekly AI agent tool insights

Comparisons, new tool launches, and expert recommendations delivered to your inbox.

No spam. Unsubscribe anytime.

Ready to Choose?

Read the full reviews to make an informed decision