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 use."
"Its ability to publish a predictive model as a web based solution and integrate R and python codes are amazing."
"The solution is easy to use and has good automation capabilities in conjunction with Azure DevOps."
"The most valuable feature of this solution is the ability to use all of the cognitive services, prebuilt from Azure."
"The visualizations are great. It makes it very easy to understand which model is working and why."
"The solution is scalable."
"Split dataset, variety of algorithms, visualizing the data, and drag and drop capability are the features I appreciate most."
"One of the notable advantages is that it offers both a visual designer, which is user-friendly, and an advanced coding option."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"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."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"The most valuable features are the Binary classification and Auto Model."
"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 speed of deployment should be faster, as should testing."
"In the future, I would like to see more AI consultation like image and video classification, and improvement in the presentation of data."
"The interface is a bit overloaded."
"I personally would prefer if data could be tunneled to my model through a SAP ERP system, and have features of Excel, such as Pivot Tables, integrated."
"The AutoML feature is very basic and they should improve it by using a more robust algorithm."
"While ML Studio does give you the ability to run a lot of transformations, it struggles when the transformations are a bit more complex, when your entire process is transformation-heavy."
"Technical support could improve their turnaround time."
"The solution's initial setup process is complicated."
"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."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"I think that they should make deep learning models easier."
"Improve the online data services."
"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."
"If they could include video tutorials, people would find that quite helpful."
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Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 49 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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