We performed a comparison between RapidMiner and SAS Enterprise Miner based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature is what the product sets out to do, which is extracting information and data."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry."
"The solution is stable."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"The data science, collaboration, and IDN are very, very strong."
"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool."
"The most valuable features are the Binary classification and Auto Model."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The solution is very good for data mining or any mining issues."
"The solution is able to handle quite large amounts of data beautifully."
"he solution is scalable."
"The most valuable feature is the decision tree creation."
"Good data management and analytics."
"I like the way the product visually shows the data pipeline."
"It would be helpful to have some tutorials on communicating with Python."
"The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive."
"Improve the online data services."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"RapidMiner can improve deep learning by enhancing the features."
"The price of this solution should be improved."
"In the Mexican or Latin American market, it's kind of pricey."
"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."
"The initial setup is challenging if doing it for the first time."
"The user interface of the solution needs improvement. It needs to be more visual."
"Technical support could be improved."
"The product must provide better integration with cloud-native technologies."
"The solution is much more complex than other options."
"The ease of use can be improved. When you are new it seems a bit complex."
"Virtualization could be much better."
"The visualization of the models is not very attractive, so the graphics should be improved."
RapidMiner is ranked 7th in Data Science Platforms with 19 reviews while SAS Enterprise Miner is ranked 15th in Data Science Platforms with 13 reviews. RapidMiner is rated 8.6, while SAS Enterprise Miner is rated 7.6. The top reviewer of RapidMiner writes "Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms". On the other hand, the top reviewer of SAS Enterprise Miner writes "A stable product that is easy to deploy and can be used for structured and unstructured data mining". RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, Tableau and Anaconda, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, Microsoft Azure Machine Learning Studio, SAS Analytics and Alteryx. See our RapidMiner vs. SAS Enterprise Miner report.
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