We performed a comparison between Microsoft Azure Machine Learning Studio and SAS Visual Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The solution is very easy to use, so far as our data scientists are concerned."
"The solution facilitates our production."
"The most valuable feature is data normalization."
"I find Microsoft Azure Machine Learning Studio advantageous because it allows integration with Titan Scratch and offers an easy-to-use drag-and-drop menu for developing machine learning models."
"The product supports open-source tools."
"The most valuable feature of the solution is the availability of ChatGPT in the solution."
"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."
"The solution's most beneficial feature is its integration with Azure."
"We've found the product to be stable and reliable."
"The technical support services are good."
"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"It integrates well with SAS, making it simple and quick for developers."
"It's a stable, reliable product."
"Simplifies report designs and quickly displays tables and graphs."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"The speed of deployment should be faster, as should testing."
"The product must improve its documentation."
"In terms of improvement, I'd like to have more ability to construct and understand the detailed impact of the variables on the model. Their algorithms are very powerful and they explain overall the net contribution of each of the variables to the solution. In terms of being able to say to people "If you did this, you'll get this much more improvement" it wasn't great."
"One area where Azure Machine Learning Studio could improve is its user interface structure."
"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 processor can pose a bit of a challenge, but the real complexity is determined by the skill of the implementation team."
"The data preparation capabilities need to be improved."
"The solution cannot connect to private block storage."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"The solution is a little weak at the front end."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"The solution should improve its graphics."
"Colours used on report objects"
"A bit more flexibility in the temperatization will be helpful."
"SAS Visual Analytics could be more user-friendly."
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Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 53 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 36 reviews. Microsoft Azure Machine Learning Studio is rated 7.6, while SAS Visual Analytics is rated 8.2. 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 SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". Microsoft Azure Machine Learning Studio is most compared with Google Vertex AI, Databricks, Azure OpenAI, TensorFlow and RapidMiner, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Dataiku and SAS Enterprise Miner.
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