We performed a comparison between RapidMiner and Saturn Cloud 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."Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"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 most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"RapidMiner for Windows is an excellent graphical tool for data science."
"The solution is stable."
"It offered an excellent development environment while not touching our production cloud resources."
"It didn't take long to see that Saturn Cloud could scale with my needs, providing more resources when required."
"The feature I like the most about Saturn Cloud is that it has lightning-fast CPUs."
"There is plenty of computational resources (both GPU, CPU and disk space)."
"Saturn Cloud supports GPU as part of the environment, which is essential for many computational tasks in machine learning projects. It also allows us to edit the environment, including the image, before we start the cloud resources. This feature lets us quickly set up the environment without the hassle of moving the data and code to another cloud device."
"Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there."
"If they could include video tutorials, people would find that quite helpful."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"It would be helpful to have some tutorials on communicating with Python."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"RapidMiner can improve deep learning by enhancing the features."
"I would appreciate improvements in automation and customization options to further streamline processes."
"I would like to see more integration capabilities."
"Public Clouds integration and sandbox environments would be a true game changer."
"We'd like to have the capability for installing more libraries."
"Saturn Cloud should include prebuilt images for advanced data science packages like LightGBM in the next release. If possible, they should also provide a Kaggle image, which contains the most common Python packages used in machine learning."
"It would be nice to have more hardware category options, like TPU coprocessors or ARM64 CPUs."
"Providing more detailed and beginner-friendly documentation, especially for advanced features, could greatly enhance the user experience."
RapidMiner is ranked 6th in Data Science Platforms with 20 reviews while Saturn Cloud is ranked 8th in Data Science Platforms with 5 reviews. RapidMiner is rated 8.6, while Saturn Cloud is rated 10.0. 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 Saturn Cloud writes "Great support, good availability, and seamless integration capabilities". RapidMiner is most compared with KNIME, Alteryx, Dataiku, Tableau and Microsoft Azure Machine Learning Studio, whereas Saturn Cloud is most compared with Amazon SageMaker and Remote Desktop with Multi-user support by Aurora. See our RapidMiner vs. Saturn Cloud report.
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