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."It is a scalable solution…It is a pretty stable solution…The solution's initial setup process was pretty straightforward."
"The AutoML is helpful when you're starting to explore the problem that you're trying to solve."
"It helps in building customized models, which are easy for clients to use."
"The product's standout feature is a robust multi-file network with limited availability."
"It has helped in reducing the time involved for coding using R and/or Python."
"It's a great option if you are fairly new and don't want to write too much code."
"Scalability, in terms of running experiments concurrently is good. At max, I was able to run three different experiments concurrently."
"Split dataset, variety of algorithms, visualizing the data, and drag and drop capability are the features I appreciate most."
"The most valuable features are the analytics and reporting."
"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
"Microsoft Azure Machine Learning Studio worked okay for me, so right now, I don't have any room for improvement in mind for it. What I'd like added to Microsoft Azure Machine Learning Studio in its next version is a categorization for use cases or a template that makes the use cases simple to map out, for example, for healthcare, medical, or finance use cases, etc. This would be very helpful for users of Microsoft Azure Machine Learning Studio, especially for beginners."
"The data cleaning functionality is something that could be better and needs to be improved."
"I think it should be made cheaper for certain people…It may appear costlier for those who don't consider time important."
"Integration with social media would be a valuable enhancement."
"The initial setup time of the containers to run the experiment is a bit long."
"I would like to see modules to handle Deep Learning frameworks."
"n the solution, there is the concept of workspaces, and there is no means to share the computing infrastructure across those workspaces."
"The speed of deployment should be faster, as should testing."
"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 51 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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