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DataRobot Pros

Pavan KumarKurapati - PeerSpot reviewer
Data Scientist at a tech services company with 11-50 employees
We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features.
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HO
Head of Data and Analytics at a manufacturing company with 501-1,000 employees
DataRobot can be easy to use.
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DataRobot Cons

Pavan KumarKurapati - PeerSpot reviewer
Data Scientist at a tech services company with 11-50 employees
If we could include our existing Python or R code in DataRobot, we could make it even better. The DataRobot that we have is specific to an industry, but most of the time we would have our own algorithms, which are specific to our own use case. If we had a way by which we could integrate our proprietary things into DataRobot with a simple integration, it would help us a lot.
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HO
Head of Data and Analytics at a manufacturing company with 501-1,000 employees
The business departments will love to work with DataRobot because they use the tool to investigate their data, such as targeting what they want to investigate. They don't need any data scientists near them. They can investigate at eye level and bring into the BI tool, or can bring it to the data scientist. Data scientists can use this tool to bring increase the solution to the maximum. All the others can use it, but not to the maximum.
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Buyer's Guide
Predictive Analytics
October 2022
Find out what your peers are saying about DataRobot, RapidMiner, Alteryx and others in Predictive Analytics. Updated: October 2022.
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