# HoneyHive vs Langfuse

HoneyHive

vs

Langfuse

## Overview

### Rating
- HoneyHive: 10.0 / 10
- Langfuse: 10.0 / 10

### Best For
- HoneyHive: Enterprise teams managing prompts and running evals
- Langfuse: Teams who want open-source LLM observability they can self-host and customize

### Product Summary
- HoneyHive: Prompt management + regression evals in one platform. SOC 2 compliant with annotation queues.
- Langfuse: An open-source LLM observability platform that provides tracing, analytics, prompt management, and evaluation for AI applications. It captures detailed traces of LLM calls, supports custom scoring, and integrates with LangChain, LlamaIndex, Vercel AI SDK, and raw API calls. Langfuse can be self-hosted for data privacy or used as a managed cloud service. Its open-source model and generous free tier make it popular with startups and developers.

### Starting Price
- HoneyHive: paid
- Langfuse: Open Source

### Free Trial
- HoneyHive: No
- Langfuse: No

### Free Version
- HoneyHive: No
- Langfuse: No

### Website
- HoneyHive: [honeyhive.ai](https://honeyhive.ai/)
- Langfuse: [langfuse.com](https://langfuse.com/)

## Key features
### HoneyHive
- Prompt management
- Regression testing
- SOC 2
- Annotation queues

### Langfuse
- Open-source LLM observability
- Detailed trace and span tracking
- Prompt management
- Evaluation scoring
- Self-hosted and cloud options

## Strengths and tradeoffs
### HoneyHive
**Pros**
- Comprehensive observability with OpenTelemetry-native distributed tracing across 100+ LLMs and frameworks
- Strong security and compliance (SOC 2 Type II, GDPR, HIPAA) with flexible deployment options
- Built-in evaluation tools with 25+ pre-built evaluators and human review workflows
- Centralized prompt versioning with Git-native version control and GitOps workflows
- Session replay and multi-agent system visualization for debugging complex AI applications

**Cons**
- Pricing information not transparently available on website
- May have steep learning curve for teams new to AI observability
- Enterprise-focused features may be overkill for smaller projects

### Langfuse
**Pros**
- Fully open-source with MIT license and free for commercial use with no usage limits
- Acquired by ClickHouse in January 2026, providing strong backing and future investment
- Active development with strong community support and comprehensive documentation
- Transparent pricing model based on units rather than complex metric calculations
- Deep integrations with major frameworks like LangChain, OpenAI, and LlamaIndex

**Cons**
- Recent acquisition by ClickHouse may lead to platform changes and strategic shifts
- Smaller team of 7 employees may impact support capacity
- Enterprise pricing at $3,450-$5,700/month can be expensive for mid-sized teams

## HoneyHive or Langfuse — which should you choose?
- Choose HoneyHive if you want: Data not available
- Choose Langfuse if you want:
  - Self-hosted LLM monitoring
  - Open-source tracing for AI applications
  - Prompt versioning and management
  - Cost tracking across providers
  - Community-driven observability

## Compare HoneyHive and Langfuse on your own traffic
- 10K Free traces/mo
- 500+ Models
- 5 min Setup

Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.

[Try Respan free](https://platform.respan.ai/)