# Arize AI vs Ray

**Leader by vioscaleAI score:** Ray

| Attribute | Arize AI | Ray |
|---|---|---|
| **vioscaleAI score** | 61.7 (70% (medium)) | 70.8 (65% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 3,641 |
| adoption.github_stars | - | 44,036 |
| adoption.package_downloads_weekly | - | 11,291,327 |
| content.faq | `[{"answer":"Provides real-time tracing of LLM and AI system execution, quality assessment through evaluations, and continuous improvement workflows for monitoring and refining production AI applications. It is indexed under MLOps & LLMOps Tools.","source":"https://arize.com","question":"What is Arize AI?","confidence":0.6},{"answer":"Arize AI supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://arize.com","question":"What platforms does Arize AI support?","confidence":0.6},{"answer":"Yes. Arize AI can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://arize.com","question":"Can Arize AI be self-hosted?","confidence":0.6},{"answer":"We have confirmed 27 integrations for Arize AI, including OpenAI, Anthropic, AWS Bedrock, Vertex AI, Google GenAI, NVIDIA NIM, Gemini and OpenRouter, plus 19 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://arize.com","question":"What does Arize AI integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2, ISO 27001, HIPAA and GDPR for Arize AI. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Arize AI not holding them. Always confirm compliance directly before you rely on it.","source":"https://arize.com","question":"What security certifications does Arize AI have?","confidence":0.6}]` | `[{"answer":"Ray is an open-source unified framework for scaling Python and machine learning applications across any infrastructure. It provides distributed compute primitives, specialized AI libraries for data processing, model training, tuning, and serving, with seamless scaling from development environments to large clusters. It is indexed under MLOps & LLMOps Tools.","source":"https://www.ray.io","question":"What is Ray?","confidence":0.6},{"answer":"Ray offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.","source":"https://www.ray.io","question":"Is Ray free?","confidence":0.6},{"answer":"Ray supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://www.ray.io","question":"What platforms does Ray support?","confidence":0.6},{"answer":"Yes. Ray can be deployed cloud / SaaS, hybrid, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://www.ray.io","question":"Can Ray be self-hosted?","confidence":0.6},{"answer":"We have confirmed 19 integrations for Ray, including PyTorch, TensorFlow, AIBrix, AReaL, Cosmos Curate, Daft, Data-Juicer and DeltaCAT, plus 11 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://www.ray.io","question":"What does Ray integrate with?","confidence":0.6},{"answer":"Yes. Ray is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/ray-project/ray","question":"Is Ray open source?","confidence":0.67}]` |
| deployment.options | `{"cloud":true,"hybrid":true,"self_hosted":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | Enables development teams to trace LLM application execution, run automated assessments, investigate failures, and iteratively refine AI agents and systems. Offered in two forms: an open-source self-hosted option and a managed cloud service supporting deployment across major cloud providers and on-premise infrastructure. | Open-source framework for building and scaling distributed ML and Python applications, supporting the full pipeline from data processing and model training to inference and serving with simple APIs. |
| features.capabilities | `{"role":"platform","evaluation":true,"managed_cloud":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"llm_observability":true,"prompt_management":true,"framework_agnostic":true,"experiment_tracking":true}` | `{"role":"framework","managed_cloud":true,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"llm_observability":true,"framework_agnostic":true,"experiment_tracking":true}` |
| integrations.count | 40 | 17 |
| integrations.list | `[{"name":"OpenAI"},{"name":"Anthropic"},{"name":"Azure OpenAI"},{"name":"AWS Bedrock"},{"name":"Vertex AI"},{"name":"Google GenAI"},{"name":"NVIDIA NIM"},{"name":"Gemini"},{"name":"OpenRouter"},{"name":"LiteLLM"},{"name":"Claude Code"},{"name":"Cursor"},{"name":"OpenCode"},{"name":"LangGraph"},{"name":"Vercel AI SDK"},{"name":"Mastra"},{"name":"CrewAI"},{"name":"LlamaIndex"},{"name":"DSPy"},{"name":"OpenAI Agents SDK"},{"name":"Claude Agent SDK"},{"name":"BigQuery"},{"name":"Databricks"},{"name":"Snowflake"},{"name":"OpenTelemetry"},{"name":"Google Vertex AI","category":"llm"},{"name":"LangChain","category":"framework"},{"name":"Google Cloud","category":"cloud"},{"name":"AWS","category":"cloud"},{"name":"Azure","category":"cloud"},{"name":"OpenLLMetry","category":"framework"},{"name":"Claude SDK","native":true},{"name":"OpenInference","native":true}]` | `[{"name":"PyTorch"},{"name":"TensorFlow"},{"name":"AIBrix"},{"name":"AReaL"},{"name":"Cosmos Curate"},{"name":"Daft"},{"name":"Data-Juicer"},{"name":"DeltaCAT"},{"name":"Modin"},{"name":"NeMo Curator"},{"name":"NeMo-RL"},{"name":"OpenRLHF"},{"name":"RayDP"},{"name":"ROLL"},{"name":"SkyRL"},{"name":"SLIME"},{"name":"Syftr"},{"name":"verl"},{"name":"vLLM"},{"name":"Kubernetes","native":true,"category":"infrastructure"},{"name":"AWS","native":true,"category":"cloud"},{"name":"GCP","native":true,"category":"cloud"},{"name":"Azure","native":true,"category":"cloud"},{"name":"Databricks","native":true,"category":"data_platform"},{"name":"DeltaLake","native":true,"category":"data_storage"},{"name":"Spark","native":true,"category":"data_processing","direction":"bidirectional"},{"name":"Pandas","native":true,"category":"data_processing","direction":"bidirectional"}]` |
| language.primary | - | Python |
| license.spdx | - | Apache-2.0 |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true}` |
| pricing | `{"type":"hybrid","freeTier":true,"sourceUrl":"https://arize.com","retrievedAt":"2026-09-18T15:57:59.968Z"}` | `{"type":"open_source","sourceUrl":"https://www.ray.io","retrievedAt":"2026-09-14T15:30:52.746Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | commercial |
| pricing.price_level | low | free |
| pricing.transparent | no | - |
| release.cadence_days | - | 18 |
| release.history | - | `[{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.59.0","date":"2026-10-02T07:04:37Z","type":"stable","version":"ray-2.59.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.58.0","date":"2026-08-23T05:42:08Z","type":"stable","version":"ray-2.58.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.57.0","date":"2026-08-11T01:15:44Z","type":"stable","version":"ray-2.57.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.56.1","date":"2026-07-17T23:19:47Z","type":"stable","version":"ray-2.56.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.56.0","date":"2026-06-29T20:32:55Z","type":"stable","version":"ray-2.56.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.55.1","date":"2026-04-22T20:24:41Z","type":"stable","version":"ray-2.55.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.55.0","date":"2026-04-15T20:34:27Z","type":"stable","version":"ray-2.55.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.54.1","date":"2026-03-25T23:37:39Z","type":"stable","version":"ray-2.54.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.54.0","date":"2026-02-18T23:44:44Z","type":"stable","version":"ray-2.54.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.53.0","date":"2025-12-20T15:16:24Z","type":"stable","version":"ray-2.53.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.51.2","date":"2025-11-29T00:40:40Z","type":"stable","version":"ray-2.51.2"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.52.1","date":"2025-11-28T02:23:22Z","type":"stable","version":"ray-2.52.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.52.0","date":"2025-11-21T19:10:39Z","type":"stable","version":"ray-2.52.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.51.1","date":"2025-11-01T03:27:11Z","type":"stable","version":"ray-2.51.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.51.0","date":"2025-10-29T05:33:49Z","type":"stable","version":"ray-2.51.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.50.1","date":"2025-10-18T19:21:43Z","type":"stable","version":"ray-2.50.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.50.0","date":"2025-10-10T23:06:29Z","type":"stable","version":"ray-2.50.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.49.2","date":"2025-09-19T18:10:36Z","type":"stable","version":"ray-2.49.2"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.49.1","date":"2025-09-03T00:44:11Z","type":"stable","version":"ray-2.49.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.49.0","date":"2025-08-26T19:52:24Z","type":"stable","version":"ray-2.49.0"}]` |
| reliability.status_page | yes | yes |
| security.certifications | `[{"name":"SOC 2 Type II","status":"active"}]` | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.iso27001 | yes | - |
| security.pci | yes | - |
| security.scorecard | - | 5.7 |
| security.soc2 | yes | - |
| security.vulnerabilities | - | `{"count":12,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=ray&per_page=100","last_12m":6,"max_severity":"CRITICAL"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | Arize AI | Ray |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | End-to-end ML platform | Agent / RAG framework |
| **Deployment** |  |  |
| Self-hostable / OSS core | ✓ | ✓ |
| Managed cloud available | ✓ | ✓ |
| On-prem / VPC deployment | ✓ | ✓ |
| **Observability** |  |  |
| LLM tracing / observability | ✓ | ✓ |
| Evaluation (offline / LLM-judge / human) | ✓ | - |
| **Dev** |  |  |
| Prompt management + versioning | ✓ | - |
| **Tracking** |  |  |
| Experiment tracking / model registry | ✓ | ✓ |
| **Serving** |  |  |
| Model serving / inference endpoint | - | ✓ |
| **Interop** |  |  |
| OpenTelemetry / OpenLLMetry compatible | ✓ | ✓ |
| Framework-agnostic | ✓ | ✓ |
| **Gateway** |  |  |
| Multi-provider model support | ✓ | ✓ |
| **Data** |  |  |
| No-train-on-customer-data guarantee | - | - |

*Source: vioscaleAI. Generated 2026-10-16T18:02:15.080Z. "-" = undocumented, not absent.*