Arize AX vs. Arize Phoenix
A side-by-side comparison based on G2 review data.
| Metric | Arize AX | Arize Phoenix |
|---|---|---|
| Overall rating | 4.4 | 4.5 |
| Review count | 76 | 35 |
| Ease of use | 8.8 | 9.0 |
| Ease of setup | 8.8 | 8.8 |
| Quality of support | 9.0 | 9.0 |
| Meets requirements | 8.9 | 9.0 |
| NPS | 48.684211 | 62.857143 |
| Small Business | 38.7% | 55.9% |
| Mid-Market | 41.3% | 38.2% |
| Enterprise | 20.0% | 5.9% |
| Total page views | 1,170 | 243 |
| Total LLM citations | 657 | 104 |
Arize AX
Arize AI is the continual learning and AI engineering platform for observing, evaluating, and improving AI agents and LLM applications across development and production. Trusted by leading AI startups, 25% of Fortune 100 companies, and 150+ enterprises, including Uber, DoorDash, Reddit, and Atlassian. Traditional APM tells teams whether an application is fast and available. Arize goes further, showing whether an AI system behaved as intended and delivered a high-quality, trustworthy response. OBSERVE how your agents actually behave.
- Features
- Ease of Use
- Easy Integrations
- User Interface
- Capabilities
- Data Visualization
Arize Phoenix
Phoenix helps you understand and improve AI applications by giving you a workflow for debugging and iteration. You can send detailed logging information, known as traces, from your app to see exactly what happened during a run, score outputs using evaluation tests to identify failures and regressions, iterate on your prompts using real production examples, and optimize your app with experiments that compare changes on the same inputs. Together, these tools help you move from inspecting individual runs to improving quality with evidence.