"RapidMiner can improve deep learning by enhancing the features." "RapidMiner isn't cheap. It's a complete solution, but it's costly." "I would like to see all users have access to all of the deep learning models, and that they can be used easily." "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. It already has lots of variables in there." "In the Mexican or Latin American market, it's kind of pricey." 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." "Many things in the interface look nice, but they aren't of much use to the operator. RapidMiner is ranked 6th in Data Science Platforms with 6 reviews while SAS Enterprise Miner is ranked 12th in Data Science Platforms with 2 reviews. RapidMiner is rated 9.0, while SAS Enterprise Miner is rated 6.6. The top reviewer of RapidMiner writes "Extensive features, Turbo Prep, Auto ML, good GUI and good stability". On the other hand, the top reviewer of SAS Enterprise Miner writes "Good technical support but too complex and not open-source". RapidMiner is most compared with KNIME, Alteryx, Microsoft Azure Machine Learning Studio, Tableau and Amazon SageMaker, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Alteryx and Amazon SageMaker.
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