We performed a comparison between Microsoft Azure Machine Learning Studio 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."It's easy to deploy."
"One of the notable advantages is that it offers both a visual designer, which is user-friendly, and an advanced coding option."
"The solution is very fast and simple for a data science solution."
"The solution is easy to use and has good automation capabilities in conjunction with Azure DevOps."
"When you import the dataset you can see the data distribution easily with graphics and statistical measures."
"The most valuable feature of Microsoft Azure Machine Learning Studio is the ease of use for starting projects. It's simple to connect and view the results. Additionally, the solution works well with other Microsoft solutions, such as Power Automate or SQL Server. It is easy to use and to connect for analytics."
"Microsoft Azure Machine Learning Studio is easy to use and deploy."
"Auto email and studio are great features."
"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."
"The documentation for this solution is very good, where each operator is explained with how to use it."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"The best part of RapidMiner is efficiency."
"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."
"Microsoft should also include more examples and tutorials for using this product."
"The solution's initial setup process is complicated."
"I think they should improve two things. They should make their user interface more user-friendly. Integration could also be better. Because Microsoft Machine Learning is a Microsoft product, it's fully integrated with Microsoft Azure but not fully supported for other platforms like IBM or AWS or something else."
"n the solution, there is the concept of workspaces, and there is no means to share the computing infrastructure across those workspaces."
"The data preparation capabilities need to be improved."
"Technical support could improve their turnaround time."
"It is not easy. It is a complex solution. It takes some time to get exposed to all the concepts. We're trying to have a CI/CD pipeline to deploy a machine learning model using negative actions. It was not easy. The components that we're using might have something to do with this."
"Stability-wise, you may face certain problems when you fail to refresh the data in the solution."
"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."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
"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."
"The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"I would appreciate improvements in automation and customization options to further streamline processes."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"It would be helpful to have some tutorials on communicating with Python."
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Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 48 reviews while RapidMiner is ranked 7th in Data Science Platforms with 19 reviews. Microsoft Azure Machine Learning Studio is rated 7.6, while RapidMiner is rated 8.6. The top reviewer of Microsoft Azure Machine Learning Studio writes "Good support for Azure services in pipelines, but deploying outside of Azure is difficult". 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". Microsoft Azure Machine Learning Studio is most compared with Databricks, Google Vertex AI, Azure OpenAI, TensorFlow and Anaconda, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, Tableau and IBM SPSS Modeler. See our Microsoft Azure Machine Learning Studio vs. RapidMiner report.
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