We performed a comparison between Microsoft Azure Machine Learning Studio and SAP Predictive Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."It is a scalable solution…It is a pretty stable solution…The solution's initial setup process was pretty straightforward."
"The solution facilitates our production."
"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 drag-and-drop interface of Azure Machine Learning Studio has greatly improved my workflow."
"Scalability, in terms of running experiments concurrently is good. At max, I was able to run three different experiments concurrently."
"The most valuable feature of this solution is the ability to use all of the cognitive services, prebuilt from Azure."
"When you import the dataset you can see the data distribution easily with graphics and statistical measures."
"It has helped in reducing the time involved for coding using R and/or Python."
"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."
"Stability-wise, you may face certain problems when you fail to refresh the data in the solution."
"The data cleaning functionality is something that could be better and needs to be improved."
"They should have a desktop version to work on the platform."
"If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice."
"The data processor can pose a bit of a challenge, but the real complexity is determined by the skill of the implementation team."
"The price could be improved."
"As for the areas for improvement in Microsoft Azure Machine Learning Studio, I've provided feedback to Microsoft. My company is a Gold Partner of Microsoft, so I provided my feedback in another forum. Right now, it is the number of algorithms available in the designer that has to be improved, though I'm sure Microsoft does it regularly. When you take a use case approach, Microsoft has done that in a lot of places, but not on the Microsoft Azure Machine Learning Studio designer. When I say use case basis, I meant recommending a product or recommending similar products, so if Microsoft can list out use cases and give me a template, it will save me a lot of time and a lot of work because I don't have to scratch my head on which algorithm is better, and I can go with what's recommended by Microsoft. I'm sure that isn't a big task for the Microsoft team who must have seen thousands of use cases already, so out of that experience if the team can come up with a standard template, I'm sure it'll help a lot of organizations cut down on the development time, as well as going with the best industry-standard algorithms rather than experimenting with mine. What I'd like to see in the next version of Microsoft Azure Machine Learning Studio, apart from the use case template, is the improvement of the availability of libraries. Microsoft should also upgrade the Python versions because the old version of Python is still supported and it takes time for Microsoft to upgrade the support for Python. The pace of upgrading Python versions of Microsoft Azure Machine Learning Studio and making those libraries available should be sped up or increased."
"I think it should be made cheaper for certain people…It may appear costlier for those who don't consider time important."
"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 49 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 Databricks, Google Vertex AI, 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, KNIME and Alteryx.
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