Arize Phoenix vs Helicone

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

Arize Phoenix

🔴Developer

AI Observability

Phoenix is Arize's open-source LLM observability project, and it has quietly become the default way tens of thousands of teams see what their agents are actually doing in production. The pitch is simple: `pip install arize-phoenix`, instrument with OpenInference (or any OpenTelemetry-compatible library), and every LLM call, tool invocation, retrieval, and embedding shows up as a spanned timeline you can filter, search, and replay. No vendor account required, no proprietary SDK lock-in. The Open

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Starting Price

Free

Helicone

🔴Developer

LLM Observability

Open-source LLM observability and AI gateway — logs every prompt, response, cost, and latency across 20+ providers with a one-line proxy or async SDK, plus caching, retries, and prompt experiments.

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Starting Price

Free

Feature Comparison

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FeatureArize PhoenixHelicone
CategoryAI ObservabilityLLM Observability
Pricing Plans85 tiers4 tiers
Starting PriceFreeFree
Key Features
  • LLM Tracing & Observability
  • Evaluation Framework
  • Experiment Management
  • Proxy-Based Request Logging
  • Cost Analytics & Budget Alerts
  • Gateway-Level Caching

💡 Our Take

Choose Helicone for hosted SaaS observability with a free tier and proxy-based integration that works in 5 minutes. Choose Arize Phoenix if you want a fully open-source, OpenTelemetry-native tracing solution with strong RAG and embedding analysis features. Phoenix wins for ML practitioners doing deep retrieval debugging; Helicone wins for engineers needing cost dashboards out of the box.

Arize Phoenix - Pros & Cons

Pros

  • Permissively open source — full features without a vendor account
  • OpenTelemetry-native means Phoenix traces also flow into Datadog, Honeycomb, Tempo
  • Local dev loop is 30 seconds: install, instrument, see traces
  • Auto-instrumentation covers virtually every major LLM and agent framework
  • Upgrade path to managed Arize Cloud or enterprise AX without re-instrumenting

Cons

  • UI prioritizes function over polish — LangSmith and Langfuse have nicer dashboards
  • Advanced alerting, drift detection, and RBAC sit in paid Arize AX, not open core
  • Production self-hosting still requires you to operate PostgreSQL and storage
  • Evaluation primitives are powerful but require Python — no no-code eval builder
  • Documentation occasionally trails the rapid OpenInference instrumentation pace

Helicone - Pros & Cons

Pros

  • 5-minute proxy integration captures full traces, cost, and latency across 20+ providers
  • Real AI gateway features (caching, retries, fallback, key vault) replace a custom proxy
  • MIT-licensed and self-hostable on Postgres + ClickHouse — passes regulated procurement

Cons

  • Proxy mode adds a network hop unless self-hosted in your own region
  • Prompt experiment UX is less mature than dedicated eval platforms like Braintrust
  • Self-hosting requires running ClickHouse, which is an extra ops surface

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🔒 Security & Compliance Comparison

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Security FeatureArize PhoenixHelicone
SOC2✅ Yes✅ Yes
GDPR✅ Yes✅ Yes
HIPAA❌ No❌ No
SSO❌ No✅ Yes
Self-Hosted✅ Yes✅ Yes
On-Prem✅ Yes✅ Yes
RBAC❌ No✅ Yes
Audit Log❌ No✅ Yes
Open Source✅ Yes✅ Yes
API Key Auth✅ Yes✅ Yes
Encryption at Rest✅ Yes✅ Yes
Encryption in Transit✅ Yes✅ Yes
Data ResidencyAvailableUS, EU
Data Retentionconfigurableconfigurable
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