Arize AI vs Langfuse
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified recently.
https://aicompliancevendors.com/compare/arize-ai-vs-langfuseArize AI
Ship Agents that Work — AI & Agent Engineering Platform for development, observability, and evaluation.
Arize AI is an LLM observability and evaluation platform designed for enterprises running AI agents and LLM applications at scale. Its flagship product, Arize AX, provides real-time monitoring, agent tracing, prompt management, online evaluations using LLM-as-a-Judge, and drift detection across NLP, computer vision, and multimodal models. The company also maintains Arize Phoenix, a widely adopted open-source AI observability library built on OpenTelemetry/OpenInference standards.
Langfuse
Open Source LLM Engineering Platform
Langfuse is an open-source LLM observability platform that provides tracing, evaluations, prompt management, and analytics for debugging and improving LLM applications and agents. Key differentiators include model/framework-agnostic SDKs, OpenTelemetry compatibility, self-hosting option, and integrated workflow for observability, experiments, and human annotation. Typical buyers are AI engineering teams at startups to Fortune 50 companies developing production AI products. Notable: Acquired by ClickHouse in January 2026; supports compliance certifications like SOC 2 Type II, ISO 27001, GDPR, HIPAA eligible.
What the data shows
We haven't published an editorial verdict on this pair yet. The comparison below is built from public vendor materials and our taxonomy — no editorialized ranking.
- Shared framework coverage: None documented in common.
- Shared capabilities: 5 of 10 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | Arize AI | Langfuse |
|---|---|---|
| Founded | 2020 | 2023 |
| Headquarters | Berkeley, USA | Berlin, Germany |
| Employees | 51-200 | 11-50 |
| Funding | $131M Series C (most recent: $70M Series C led by Adams Street Partners, February 2025) | $4M total (Seed, November 2023) |
| Pricing | Contact for pricing | Contact for pricing |
| Website | Visit site | Visit site |
Framework coverage
| Framework | Arize AI | Langfuse |
|---|
Capabilities
| Capability | Arize AI | Langfuse |
|---|---|---|
| Agent Tracing | ✓ | ✓ |
| Audit Logging | ✓ | — |
| Bias & Fairness Testing | ✓ | — |
| Drift Detection | ✓ | ✓ |
| Hallucination Detection | ✓ | — |
| LLM Evaluation | ✓ | ✓ |
| LLM Guardrails | ✓ | — |
| LLM Observability | ✓ | — |
| Model Monitoring | ✓ | ✓ |
| Prompt Management | ✓ | ✓ |
Industries served
Arize AI
- None listed
Langfuse
- None listed
Integrations
Arize AI
- None listed
Langfuse
- OpenAI API
- Anthropic API
- LangChain
- LlamaIndex
- Vercel AI SDK
- LiteLLM
- CrewAI
- Amazon Bedrock
- Azure OpenAI Service
- Mistral AI
- Groq
- GitHub
Frequently asked
What is the difference between Arize AI and Langfuse?+
Arize AI is Ship Agents that Work — AI & Agent Engineering Platform for development, observability, and evaluation; Langfuse is Open Source LLM Engineering Platform. The full side-by-side covers framework coverage (0 shared, 0 unique to Arize AI, 0 unique to Langfuse), pricing model, and capability overlap.
How do Arize AI and Langfuse pricing compare?+
Arize AI: Phoenix (self-hosted open source, free); AX Free (SaaS, free, 25K spans/month, 1 GB/month, 15-day retention); AX Pro ($50/month, 50K spans/month, 100 GB/month, 30-day retention); AX Enterprise (custom pricing, SaaS or self-hosted). Additional spans at $10/million on Pro; additional GB at $3/GB. Langfuse: Hobby free forever; Core $29/mo, Pro $199/mo, Enterprise $2499/mo; all include 100k units/mo (50k for Hobby), additional usage $8/100k units decreasing with volume; discounts for startups/OSS/EDU.
Which AI compliance frameworks do Arize AI and Langfuse both support?+
There is no published overlap in framework coverage between Arize AI and Langfuse based on each vendor's own materials.
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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.