DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time.
| Product | Market Share (%) |
|---|---|
| DataRobot | 8.9% |
| Alteryx | 15.0% |
| Anaplan | 13.8% |
| Other | 62.3% |
DataRobot offers flexible pricing models, typically customized based on enterprise needs and usage. Users report satisfaction with the ROI and appreciate the scalable options. However, some indicate that costs can be high, especially for smaller teams, and suggest evaluating all features versus actual requirements. Enterprise buyers should consider both short-term and long-term costs when evaluating DataRobot.
| Author info | Rating | Review Summary |
|---|---|---|
| Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees | 4.0 | I use DataRobot to streamline our development process with its GUI capabilities, enabling feature engineering, model training, and deployment. Its AutoML simplifies model comparison, boosting productivity, though it lacks some manual implementation functionalities available in Python notebooks. |
| Data Scientist at a tech services company with 10,001+ employees | 4.5 | We work on AI and IT-related projects using DataRobot, a highly automated platform that simplifies model building and deployment. Despite its robust MLOps features, it faces performance issues and lacks integration with orchestration tools, making storage tasks challenging. |
| Consultant at Netsoft | 4.5 | I conducted a proof of concept at DISH Wireless before a contract signing and found DataRobot's ease in managing MLOps operations valuable. Improvements could include generative AI capabilities. I've also used Dataiku, which differs in structure and financial focus. |
| Head of Data and Analytics at a manufacturing company with 501-1,000 employees | 5.0 | No summary available |
| Data Scientist at a tech services company with 11-50 employees | 4.0 | No summary available |
