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“Ease of use and implementation is a very appealing part of their products. Additionally, their code-first data science approach enables fast iteration and collaboration with other teams. Above all else, the scalability they provide is immensely valuable.”
“very effective platform, enabling organization in AI efforts. very committed customer success team. DataRobot brings together the best in breed predictive and generative AI in a single platform. DataRobot provides a complete end-to-end AI lifecycle platform. Good usability to enable non-data scientists."
Rated 4.6/5 in Data Science and Machine Learning Platforms. As of June 2, 2025 based on 707 reviews.
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DataRobot is proud to announce that Gartner® has once again named us a Leader in the 2025 Magic Quadrant™ for Data Science and Machine Learning Platforms, recognized for Completeness of Vision and Ability to Execute.
We believe this recognition underscores DataRobot’s commitment to mission-ready AI for federal agencies—offering production-grade AI agents, platform-level security, and governance built for oversight and scale.
Our platform enables agencies to build and orchestrate multiple AI agents, operate within strict compliance frameworks, and deploy securely across any environment.
Download the report to discover key criteria to consider in your agency’s AI platform selection and insights about recognized vendors for their Completeness of Vision and Ability to Execute.
Access a complimentary copy of the 2025 Magic Quadrant for Data Science and Machine Learning Platforms, courtesy of DataRobot.
Press Release
DataRobot is a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms
Article
DataRobot was named a 2024 Customers’ Choice on Gartner Peer Insights™ for Data Science and Machine Learning Platforms
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Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.
1. Source: Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, Afraz Jaffri, Maryam Hassanlou, Tong Zhang, Deepak Seth, Yogesh Bhatt, May 28, 2025.
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