DataRobot vs Orange Data Mining
DataRobot
datarobot.comOrange Data Mining
orangedatamining.comSide by side
| Figure | DataRobot | Orange Data Mining |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · Data Science and Machine Learning Platforms | 7.9 (#7) | 7.4 (#11) |
| Spec score · Low-Code Machine Learning Platforms Software | 7.9 (#8) | 7.4 (#12) |
| Spec score · Predictive Analytics Software | 8.0 (#12) | 7.6 (#17) |
| Spec score · Data Science Analytics | 7.9 (#14) | 7.4 (#20) |
| Purpose | DataRobot provides a platform to develop, deliver, and govern AI solutions, including agentic, generative, and predictive AI. | Orange is open-source software for machine learning, data mining, and data visualization. |
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.
Orange Data Mining
Orange Data Mining is open-source software for machine learning, data mining, and data visualization. It runs on Linux, macOS, and Windows, and is available for free under the GNU GPL 3.0 or later; add-ons may have additional licensing requirements. Users make analyses by connecting widgets for retrieving and preparing data, visualizing it, building models, and evaluating them. Interactive views include scatter plots, box plots, histograms, heat maps, MDS projections, and model-specific displays. The model catalog includes methods such as decision trees, random forests, support vector machines, neural networks, and logistic regression. Add-ons cover areas including text mining, network analysis, fairness, time series, and gene expression analysis. Data can come from spreadsheet and text files, Google Spreadsheets, and PostgreSQL or MSSQL databases; the SQL widget supports only PostgreSQL and MSSQL. Orange is installed locally and can work offline. Embedded widgets send data to a server for computation, though the FAQ says it is not stored there. Orange cannot export workflows as Python scripts and is not compatible with R.