"DataRobot can be easy to use."
"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."
"The most valuable feature is its flexibility and the ability to integrate with SAS."
"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."
"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."
"Technical support could be improved because they take too long to answer our queries."
DataRobot is ranked 4th in Predictive Analytics with 2 reviews while SAS Predictive Analytics is ranked 5th in Predictive Analytics with 1 review. DataRobot is rated 8.0, while SAS Predictive Analytics is rated 7.0. The top reviewer of DataRobot writes "Has a set of good features and an easy setup". On the other hand, the top reviewer of SAS Predictive Analytics writes "Drag-and-drop functionality makes the interface easy to use, but the technical support needs to be improved". DataRobot is most compared with RapidMiner, Alteryx and SAP Analytics Cloud, whereas SAS Predictive Analytics is most compared with SAP Analytics Cloud.
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