We performed a comparison between Amazon SageMaker and RapidMiner 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 of Amazon SageMaker for me is the model deployment service."
"I have contacted the solution's technical support, and they were really good. I rate the technical support a ten out of ten."
"The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases."
"We were able to use the product to automate processes."
"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."
"Allows you to create API endpoints."
"The tool makes our ML model development a bit more efficient because everything is in one environment."
"The Autopilot feature is really good because it's helpful for people who don't have much experience with coding or data pipelines. When we suggest SageMaker to clients, they don't have to go through all the steps manually. They can leverage Autopilot to choose variables, run experiments, and monitor costs. The results are also pretty accurate."
"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."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries."
"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."
"The documentation for this solution is very good, where each operator is explained with how to use it."
"The data science, collaboration, and IDN are very, very strong."
"I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox."
"SageMaker would be improved with the addition of reporting services."
"AI is a new area and AWS needs to have an internship training program available."
"The training modules could be enhanced. We had to take in-person training to fully understand SageMaker, and while the trainers were great, I think more comprehensive online modules would be helpful."
"The solution is complex to use."
"There are other better solutions for large data, such as Databricks."
"The payment and monitoring metrics are a bit confusing not only for Amazon SageMaker but also for the range of other products that fall under AWS, especially for a new user of the product."
"The product must provide better documentation."
"The price of this solution should be improved."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"It would be helpful to have some tutorials on communicating with Python."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"I would like to see more integration capabilities."
"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."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
Amazon SageMaker is ranked 5th in Data Science Platforms with 18 reviews while RapidMiner is ranked 7th in Data Science Platforms with 19 reviews. Amazon SageMaker is rated 7.2, while RapidMiner is rated 8.6. The top reviewer of Amazon SageMaker writes "Easy to use and manage, but the documentation does not have a lot of information". On the other hand, 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". Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and Microsoft Azure Machine Learning Studio, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, Tableau and H2O.ai. See our Amazon SageMaker vs. RapidMiner report.
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