Keywords AI
Arize AI vs HoneyHive
Compare Arize AI and HoneyHive side by side. Both are tools in the Observability, Prompts & Evals category.
Quick Comparison
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Pricing | Freemium | paid |
| Best For | ML teams who need comprehensive observability spanning traditional ML models and LLM applications | Enterprise teams managing prompts and running evals |
| Website | arize.com | honeyhive.ai |
| Key Features |
|
|
| Use Cases |
| — |
When to Choose Arize AI vs HoneyHive
- Production ML and LLM monitoring
- Embedding quality monitoring
- Model performance tracking
About Arize AI
Arize AI provides an ML and LLM observability platform for monitoring model performance in production. For LLM applications, Arize offers trace visualization, prompt analysis, embedding drift detection, and retrieval evaluation. Their open-source Phoenix library provides local tracing and evaluation. Arize helps teams identify quality issues, debug failures, and continuously improve AI system performance.
About HoneyHive
Prompt management + regression evals in one platform. SOC 2 compliant with annotation queues.
What is Observability, Prompts & Evals?
Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.
Browse all Observability, Prompts & Evals tools →