AnyscaleProduction-scale AI with Ray
vs
ArizeThe agent observability and evaluation platform.
Comparison · MLOps Platforms · weekly run Nov 2
Anyscale vs Arize
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Arize is the stronger AI pick in MLOps Platforms: it has a visibility score of 1.5 versus 0.6 for Anyscale.
Choose Anyscale if…
- You need ISO/IEC 27001 coverage
- You prefer a larger, established vendor (201–500 employees)
- Usage-based pricing suits your budget better than flat tiers
Choose Arize if…
- You want the brand AI engines rank higher (1.5 vs 0.6)
- You want a free plan to start
- You need a self-hosted or on-premises option
- You need ISO 27001 or PCI DSS or HIPAA or GDPR coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Anyscale | Arize |
|---|---|---|
| Visibility score | 0.6% | 1.5% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #43 | #34 |
| Share of voice | 0.3% | 0.7% |
| Mentions this run | 2 | 5 |
| Positive in AI answers | — | 20% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Anyscale 0pp · Arize 0pp over 0 weekly runs.
Engine by engine
Arize leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
AnyscaleArize
Head to head in AI answers
0 engine answers name both brands
0Anyscale ranked higher
0Arize ranked higher
Features, pricing & fit
| Dimension | Anyscale | Arize |
|---|---|---|
| Pricing model | Usage-based | Flat tiers |
| Entry price | Contact sales | Free; paid from $50 / mo |
| Free plan | No | Yes |
| Deployment | Hosted by Anyscale, or Bring Your Own Cloud (BYOC) inside the customer's own cloud or on-prem | SaaS, with self-hosted deployment on the Enterprise plan; Phoenix runs locally or self-hosted. |
| Integrations | — | 40+ |
| Compliance | SOC 2 Type II, ISO/IEC 27001 | SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, GDPR |
| Support | Business-hours support with 5 case submissions on hosted plans, 24x7 expert support with BYOC, Enterprise SLAs with 24x7 coverage and unlimited case submissions, Documentation, discussion forum and Slack community for Ray | Community, Email, Dedicated support on Enterprise |
| Founded | 2019 | 2020 |
| Headquarters | San Francisco, California, USA | — |
| Employees | 201–500 | 51–200 |
| Funding | Series C (second tranche) | Series B-1 extension · $131M raised |
| Best for | Python teams and foundation model builders that run data-intensive training, batch inference and data curation workloads on their own GPUs. | AI engineering teams building and running production AI agents and LLM applications who need observability and evaluations. |
Plans side by side
Anyscale
Pay as you goCustomusage (compute hours)
Committed contractsCustomcontact sales
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Anyscale vs Arize”, https://slateindex.ai/compare/anyscale-vs-arize, data of Nov 2, 2026. Licence: CC BY 4.0.