DataRobot vs JFrog ML
DataRobot
datarobot.comJFrog ML
jfrog.comSide by side
| Figure | DataRobot | JFrog ML |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · Model Registry Software | 8.0 (#5) | 7.9 (#7) |
| Spec score · Model registries | 7.8 (#15) | 7.8 (#16) |
| Certifications | DataRobot lists ISO 27001 and SOC 2 Type II certifications and says its HIPAA-compliant Single-Tenant SaaS offering is available on AWS, Azure, and GCP. | JFrog's Trust Certificate Program lists SOC 2 Type II, SOC 3, IRAP, ISO 27001, ISO 27701, ISO 27017, TISAX, CSA STAR Level 1, Cyber Essentials, and KY3P by S&P Global. |
| Deployment options | The AI Platform can run on-premise, in a virtual private cloud, or as software as a service. | JFrog ML Cloud offers cloud deployment, while its hybrid architecture allows data and models to remain in a customer's cloud environment. |
| Founded | 2012 | 2008 |
| Headquarters | Boston, Massachusetts, United States | Sunnyvale, California, and Netanya, Israel |
| Integrations | The platform offers integrations for business applications, LLMs, APIs and frameworks, data platforms, and AI infrastructure. | JFrog's integration catalog includes Hugging Face, NVIDIA, Amazon SageMaker, and Azure Machine Learning integrations. |
| Purpose | DataRobot provides a platform to develop, deliver, and govern AI solutions, including agentic, generative, and predictive AI. | JFrog ML is a unified platform for building, deploying, and monitoring machine learning models in production. |
Plans
In their own words
DataRobot
DataRobot is a platform for developing, delivering, and governing agentic, generative, and predictive AI solutions. Its Agent Workforce Platform supports building production agents, deploying them across infrastructure, and governing them organization-wide. Development tools include data and tool registries, a vector store, code-first workflows, and workflow evaluation and comparison. Integrations cover business applications, LLMs, APIs and frameworks, data platforms, and AI infrastructure, with documented connections to AWS, Azure, Google Cloud, and Snowflake. The platform can run on-premise, in a virtual private cloud, or as software as a service. DataRobot says it encrypts data in transit and at rest and supports SAML single sign-on, multifactor authentication, and LDAP for self-managed customers. It lists ISO 27001 and SOC 2 Type II certifications. Pricing is on request, with a 30-day trial. The trial costs nothing, allows up to five team members, and deletes data and assets 30 days after expiration unless the user contacts Sales.