Arize Phoenix vs Opik
A side-by-side comparison of Arize Phoenix and Opik, two Observability tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Arize Phoenix | Opik |
|---|---|---|
| Category | Observability | Observability |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Proprietary | Open core |
| Deployment | Hybrid | Hybrid |
| Platforms (differs) | API, Web | Web, API |
| Model support (differs) | Model-agnostic | BYO key / model |
| Vendor (differs) | Arize AI | Comet |
| Capabilities (differs) |
|
|
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
Opik
Fully self-hostable, pairing call tracing with built-in LLM-as-judge evals — own the stack or use Comet cloud.
- Self-host via Docker/Kubernetes
- Tracing plus evals in one tool
- Prompt management and dashboards
- Framework-agnostic integrations
- Younger than some rivals
- Hosted tier tied to Comet
- Self-host needs ops effort
- Smaller ecosystem than LangSmith
When to pick which
Both cover LLM observability, LLM evaluation, and Prompt management.
Pick Opik if you need Guardrails.
- Guardrails (secondary capability)
Opik leans on LLM evaluation as a headline capability; Arize Phoenix treats it as secondary.
- LLM evaluation (primary capability)
They also differ on:
- License
- Proprietary · Open core