We performed a comparison between DataRobot and RapidMiner based on real PeerSpot user reviews.
Find out what your peers are saying about Alteryx, RapidMiner, SAP and others in Predictive Analytics."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."
"DataRobot can be easy to use."
"RapidMiner is a no-code machine learning tool. I can install it on my local machine and work with smaller datasets. It can also connect to databases, allowing me to build models directly on the data stored there. RapidMiner offers a wider range of operators than other tools like Dataiku, making it a better option for my needs."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically."
"RapidMiner for Windows is an excellent graphical tool for data science."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"RapidMiner is very easy to use."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"The solution is stable."
"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."
"I would appreciate improvements in automation and customization options to further streamline processes."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated environment, like banking and finance. Whenever you make a decision or there is an output, you need to bill it as an avoidance to the investigator or to the bank audit team. If you made decisions within this machine learning model, you need to explain why you did so. It would better if you could explain your decision in terms of delivery. However, this is an issue with all ML platforms. Many companies are working heavily in this area to help figure out how to make it more explainable to the business team or the regulator."
"One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users."
"The price of this solution should be improved."
"If they could include video tutorials, people would find that quite helpful."
"RapidMiner can improve deep learning by enhancing the features."
"I think that they should make deep learning models easier."
Earn 20 points
DataRobot is ranked 5th in Predictive Analytics while RapidMiner is ranked 2nd in Predictive Analytics with 20 reviews. DataRobot is rated 8.0, while RapidMiner is rated 8.6. The top reviewer of DataRobot writes "Easy to use, priced well, and can be customized". On the other hand, the top reviewer of RapidMiner writes "A no-code tool that helps to build machine learning models ". DataRobot is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio, Datadog, Alteryx and SAS Predictive Analytics, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku, Tableau and Databricks.
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