We performed a comparison between Microsoft Azure Machine Learning Studio and SAP Predictive Analytics 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."Azure's AutoML feature is probably better than the competition."
"The solution is really scalable."
"The most valuable feature of Azure Machine Learning Studio for me is its convenience. I can quickly start using it without setting up the environment or buying a lot of devices."
"One of the notable advantages is that it offers both a visual designer, which is user-friendly, and an advanced coding option."
"ML Studio is very easy to maintain."
"The ability to do the templating and be able to transfer it so that I can easily do multiple types of models and data mining is a valuable aspect of this solution. You only have to set up the flows, the templates, and the data once and then you can make modifications and test different segmentations throughout."
"I like being able to compare results across different training runs. The hyperparameter tuning function is a valuable feature because it provides the ability to run multiple experiments at the same time and compare results."
"Split dataset, variety of algorithms, visualizing the data, and drag and drop capability are the features I appreciate most."
"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
"The most valuable features are the analytics and reporting."
"When you use different Microsoft tools, there are different pricing metrics. It doesn't make sense. The pricing metrics are quire difficult to understand and should be either clarified or simplified. It would help us sell the solution to customers."
"Overall, the icons in the solution could be improved to provide better guidance to users. Additionally, the setup process for the solution could be made easier."
"The price of the solution has room for improvement."
"The initial setup time of the containers to run the experiment is a bit long."
"The data preparation capabilities need to be improved."
"One area where Azure Machine Learning Studio could improve is its user interface structure."
"The speed of deployment should be faster, as should testing."
"Microsoft should also include more examples and tutorials for using this product."
"This solution works for acquired data but not live, real-time data."
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Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 53 reviews while SAP Predictive Analytics is ranked 24th in Data Science Platforms. Microsoft Azure Machine Learning Studio is rated 7.6, while SAP Predictive Analytics 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 SAP Predictive Analytics writes "Easy to implement, good data forecasting and reporting". Microsoft Azure Machine Learning Studio is most compared with Google Vertex AI, Databricks, Azure OpenAI, TensorFlow and Google Cloud AI Platform, whereas SAP Predictive Analytics is most compared with IBM Watson Studio, IBM SPSS Modeler, Domino Data Science Platform and Alteryx. See our Microsoft Azure Machine Learning Studio vs. SAP Predictive Analytics report.
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