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Head-to-head · AI Agent Observability Tools

Arize Phoenix vs HoneyHive

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Arize Phoenix #3 in AI Agent Observability Tools 9.0/10 Free plan Free plan✓ 1 of 3 features Visit Arize Phoenix
HoneyHive #5 in AI Agent Observability Tools 8.8/10 Free plan Free plan✓ 1 of 3 features Visit HoneyHive

Arize Phoenix leads on 0 checks, HoneyHive on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreArize Phoenix · 9.0/10
  • Free planboth

Arize Phoenix scores higher on our rubric for ai agent observability tools: 9.0 against 8.8 out of 10; our editors rank them #3 and #5.

Arize Phoenix is the better fit for budget-conscious teams wanting open-source depth. HoneyHive is the better fit for teams focused on production agent quality.

  • Arize Phoenix fits best

    Budget-conscious teams wanting open-source depth

  • HoneyHive fits best

    Teams focused on production agent quality

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Side by side

Feature Arize Phoenix 9.0/10 Visit ↗ HoneyHive 8.8/10 Visit ↗
At a glance
Editor score 9.0 8.8
Ranking #3 in AI Agent Observability Tools #5 in AI Agent Observability Tools
Best for Budget-conscious teams wanting open-source depth Teams focused on production agent quality
Pricing model Free Free plan + paid
Starting price Free —
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Web
Support Community, Docs Email, Community, Docs
Integrations 11 integrations 100+ integrations
Built for Solo, Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Arize Phoenix 1/3 · HoneyHive 1/3
Session replay Not checked yet Not checked yet
Prompt and tool tracing Not checked yet Not checked yet
Cost tracking ✓ ✓
Specs
Trace retention Not checked yet Not checked yet
Deployment options Not checked yet Not checked yet
Agent framework support Not checked yet Not checked yet
Our review
Pros
  • Free, open-source platform with local-first and self-hosted deployment
  • Traces models, retrieval, tool use, and custom application logic
  • Combines evaluations, prompts, datasets, experiments, and cost tracking
  • Traces prompts, tools, retrieval steps, and agent handoffs
  • Combines automated, human, and LLM-judge evaluations
  • Supports prompt deployments, regression tracking, drift detection, and alerts
Cons
  • Support channels are limited to community and documentation
  • Phoenix Cloud hosting is separate from local-first and self-hosted use
  • The listed Phoenix plan has no paid-tier feature progression
  • Enterprise capabilities use custom pricing
  • SAML and custom SSO are limited to Enterprise
  • Self-hosted, hybrid, and single-tenant options are Enterprise features
Our verdict

Arize Phoenix is an open-source observability and evaluation platform for AI applications and agents. It is designed for teams that need visibility into model calls, retrieval, tool use, and custom logic, while also managing evaluations,…

Read the review →

HoneyHive is an AI observability and evaluation platform for developers, AI engineering teams, and enterprises operating LLM applications and agents. It records distributed traces across prompts, model calls, tools, retrieval steps, and…

Read the review →
  1. Arize PhoenixAI Agent Observability Tools 9.0Free plan
  2. HoneyHiveAI Agent Observability Tools 8.8Free plan

Strengths and trade-offs

  • Arize Phoenix — where it wins

    • Free, open-source platform with local-first and self-hosted deployment
    • Traces models, retrieval, tool use, and custom application logic
    • Combines evaluations, prompts, datasets, experiments, and cost tracking

    Where it doesn't

    • Support channels are limited to community and documentation
    • Phoenix Cloud hosting is separate from local-first and self-hosted use
    • The listed Phoenix plan has no paid-tier feature progression

  • HoneyHive — where it wins

    • Traces prompts, tools, retrieval steps, and agent handoffs
    • Combines automated, human, and LLM-judge evaluations
    • Supports prompt deployments, regression tracking, drift detection, and alerts

    Where it doesn't

    • Enterprise capabilities use custom pricing
    • SAML and custom SSO are limited to Enterprise
    • Self-hosted, hybrid, and single-tenant options are Enterprise features

More comparisons

All AI agent observability tools comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update