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."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."
"What I like best about Microsoft Azure Machine Learning Studio is that it's a straightforward tool and it's easy to use. Another valuable feature of the tool is AutoML which lets you get better metrics to train the model right and with good accuracy. The AutoML feature allows you to simply put in your data, and it'll pre-process and create a more accurate model for you. You don't have to do anything because AutoML in Microsoft Azure Machine Learning Studio will take care of it."
"The solution is very fast and simple for a data science solution."
"The initial setup is very simple and straightforward."
"It's a great option if you are fairly new and don't want to write too much code."
"Microsoft Azure Machine Learning Studio is easy to use and deploy."
"The solution is really scalable."
"Azure's AutoML feature is probably better than the competition."
"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."
"Integration with social media would be a valuable enhancement."
"The product must improve its documentation."
"The speed of deployment should be faster, as should testing."
"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."
"One problem I experience is that switching between multiple accounts can be difficult. I don't think there are any major issues. Mostly, the biggest challenge is to identify business solutions to this. The tool should keep on updating new algorithms and not stay static."
"The AutoML feature is very basic and they should improve it by using a more robust algorithm."
"If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice."
"Technical support could improve their turnaround time."
"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 SPSS Modeler, IBM Watson Studio, Domino Data Science Platform and Alteryx. See our Microsoft Azure Machine Learning Studio vs. SAP Predictive Analytics report.
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