Arize Phoenix vs Laminar
A side-by-side comparison of Arize Phoenix and Laminar, two Observability tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Arize Phoenix | Laminar |
|---|---|---|
| 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 | Laminar |
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
Laminar
Agent-first tracing in one line of code, with an evals SDK in the same stack — not a general LLM logger bolted onto agents.
- Self-hostable, Apache-2.0 licensed
- OpenTelemetry-native, vendor-portable
- Built for long-running agents
- Tracing + evals in one platform
- Younger than LangSmith/Langfuse
- Smaller ecosystem and integrations
- Self-host adds infra overhead