Arize Phoenix vs Helicone
A side-by-side comparison of Arize Phoenix and Helicone, two Observability tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Arize Phoenix | Helicone |
|---|---|---|
| Category | Observability | Observability |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Proprietary | Open core |
| Deployment | Hybrid | Hybrid |
| Platforms | API, Web | API, Web |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Arize AI | Helicone |
The honest brief
Arize Phoenix
Spins up inside a Jupyter notebook and is sharpest at RAG debugging — finding the bad chunk that poisoned retrieval.
- Source-available, runs locally
- Strong RAG/retrieval debugging
- OpenTelemetry-based tracing
- Notebook-friendly
- Less polished than hosted SaaS evals
- Production scale leans on Arize cloud
- Setup effort for full pipelines
- Smaller than LangSmith ecosystem
Helicone
Fastest setup in the category: change one base URL, no SDK, and the open-source proxy can be self-hosted.
- No SDK or code changes to integrate
- Open source, self-hostable
- Built-in caching and rate-limit handling
- Multi-provider gateway
- Request/response focused, not span-based
- Weaker multi-step agent tracing
- Proxy adds a network hop
- Lighter eval tooling than Langfuse