# Arize AI vs MLflow

**Leader by vioscaleAI score:** MLflow

| Attribute | Arize AI | MLflow |
|---|---|---|
| **vioscaleAI score** | 61.7 (70% (medium)) | 70.4 (67% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 5,089 |
| adoption.github_stars | - | 28,260 |
| adoption.package_downloads_weekly | - | 9,993,245 |
| 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":"A comprehensive, open-source platform that provides experiment tracking, model registry, LLM tracing, prompt management, and deployment capabilities across the complete machine learning and AI lifecycle It is indexed under MLOps & LLMOps Tools.","source":"https://mlflow.org","question":"What is MLflow?","confidence":0.6},{"answer":"MLflow is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://mlflow.org","question":"Is MLflow free to use?","confidence":0.6},{"answer":"MLflow supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://mlflow.org","question":"What platforms does MLflow support?","confidence":0.6},{"answer":"Yes. MLflow can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://mlflow.org","question":"Can MLflow be self-hosted?","confidence":0.6},{"answer":"We have confirmed 24 integrations for MLflow, including Databricks, AWS S3, Google Cloud Storage, Azure Storage, AzureML, Kubernetes, LangChain and Pydantic AI, plus 16 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://mlflow.org","question":"What does MLflow integrate with?","confidence":0.6},{"answer":"Yes. MLflow 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/mlflow/mlflow","question":"Is MLflow open source?","confidence":0.95}]` |
| deployment.options | `{"cloud":true,"hybrid":true,"self_hosted":true}` | `{"cloud":true,"on_prem":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. | A comprehensive platform that helps teams debug, evaluate, monitor, and optimize production AI applications. Provides experiment tracking, prompt management, model deployment, systematic evaluation tools, and a unified API gateway for managing access to multiple LLM providers with cost controls. |
| 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":"platform","evaluation":true,"open_source":true,"managed_cloud":true,"model_serving":true,"pricing_model":"free_open_source","rate_limiting":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"deployment_model":"self-hosted","llm_observability":true,"prompt_management":true,"streaming_support":true,"architecture_model":"open_source_proxy","framework_agnostic":true,"experiment_tracking":true,"budget_spend_controls":true,"guardrails_moderation":"built-in","openai_compatible_api":true,"request_cost_observability":true,"mit_or_apache_permissive_oss_license":true,"auto_fallback_routing_on_rate_limit_or_downtime":true,"organization_wide_cost_tracking_and_chargebacks":true}` |
| integrations.count | 40 | 9 |
| 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":"Databricks"},{"name":"AWS S3"},{"name":"Google Cloud Storage"},{"name":"Azure Storage"},{"name":"AzureML"},{"name":"Kubernetes"},{"name":"LangChain"},{"name":"Pydantic AI"},{"name":"Anthropic Claude"},{"name":"OpenAI"},{"name":"Google Gemini"},{"name":"SAP AI Core"},{"name":"JFrog"},{"name":"Aliyun"},{"name":"PostgreSQL"},{"name":"MySQL"},{"name":"MSSQL"},{"name":"Claude Code"},{"name":"OpenAI Codex"},{"name":"Gemini"},{"name":"Anthropic"},{"name":"Ollama"},{"name":"OpenClaw"},{"name":"Qwen Code"},{"name":"LiteLLM"},{"name":"Amazon S3"},{"name":"OpenTelemetry/OTLP"},{"name":"OpenAI-compatible endpoints"},{"name":"OpenTelemetry","native":true,"category":"observability"},{"name":"Azure ML","native":true,"category":"platform"},{"name":"AWS SageMaker","native":true,"category":"platform"},{"name":"Docker","native":true,"category":"platform"}]` |
| language.primary | - | Python |
| license.spdx | - | Apache-2.0 |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"hybrid","freeTier":true,"sourceUrl":"https://arize.com","retrievedAt":"2026-09-18T15:57:59.968Z"}` | `{"type":"open_source","sourceUrl":"https://mlflow.org","retrievedAt":"2026-10-05T10:15:00.395Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | open_source |
| pricing.price_level | low | free |
| pricing.transparent | no | yes |
| release.cadence_days | - | 9 |
| release.history | - | `[{"url":"https://github.com/mlflow/mlflow/releases/tag/model-catalog/latest","date":"2026-04-06T05:49:14Z","type":"stable","version":"model-catalog/latest"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v2.11.5","date":"2026-09-23T06:17:56Z","type":"stable","version":"v2.11.5"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.16.1","date":"2026-09-17T02:40:08Z","type":"stable","version":"v3.16.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.16.0","date":"2026-09-04T08:30:54Z","type":"stable","version":"v3.16.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.15.2","date":"2026-08-26T08:34:31Z","type":"stable","version":"v3.15.2"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.15.1","date":"2026-08-03T11:09:58Z","type":"stable","version":"v3.15.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.15.0","date":"2026-07-31T08:59:13Z","type":"stable","version":"v3.15.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.14.0","date":"2026-06-17T08:50:33Z","type":"stable","version":"v3.14.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.13.0","date":"2026-06-01T23:24:24Z","type":"stable","version":"v3.13.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.13.0rc0","date":"2026-05-22T07:41:13Z","type":"prerelease","version":"v3.13.0rc0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/ts/v0.2.0","date":"2026-05-15T04:09:03Z","type":"stable","version":"ts/v0.2.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.12.0","date":"2026-05-05T23:48:58Z","type":"stable","version":"v3.12.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.12.0rc0","date":"2026-04-28T23:25:56Z","type":"prerelease","version":"v3.12.0rc0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/ts/v0.2.0-rc.1","date":"2026-04-13T09:42:04Z","type":"prerelease","version":"ts/v0.2.0-rc.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.11.1","date":"2026-04-08T05:29:25Z","type":"stable","version":"v3.11.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.11.0rc1","date":"2026-04-01T09:14:13Z","type":"prerelease","version":"v3.11.0rc1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.11.0rc0","date":"2026-03-16T14:02:42Z","type":"prerelease","version":"v3.11.0rc0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.10.1","date":"2026-03-05T14:47:14Z","type":"stable","version":"v3.10.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.10.0","date":"2026-02-20T16:05:05Z","type":"stable","version":"v3.10.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.10.0rc0","date":"2026-02-12T05:01:00Z","type":"prerelease","version":"v3.10.0rc0"}]` |
| reliability.status_page | yes | - |
| security.certifications | `[{"name":"SOC 2 Type II","status":"active"}]` | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.iso27001 | yes | - |
| security.pci | yes | - |
| security.scorecard | - | 5.4 |
| security.soc2 | yes | - |
| security.trust_center | - | https://mlflow.org/articles/tags/ai-compliance-policies/ |
| security.vulnerabilities | - | `{"count":82,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=mlflow&per_page=100","last_12m":29,"max_severity":"CRITICAL"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | Arize AI | MLflow |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | End-to-end ML platform | End-to-end ML platform |
| **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 2026-10-16T18:02:14.030Z. "-" = undocumented, not absent.*