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 really scalable."
"The product's standout feature is a robust multi-file network with limited availability."
"Scalability, in terms of running experiments concurrently is good. At max, I was able to run three different experiments concurrently."
"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."
"The solution is very fast and simple for a data science solution."
"The solution is scalable."
"The interface is very intuitive."
"Visualisation, and the possibility of sharing functions are key features."
"It's a stable, reliable product."
"The technical support services are good."
"It provided the capability to visualize a bunch of data in an organized way."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"The product is stable, reliable, and scalable."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"It's relatively simple to create basic dashboards and reports."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"The data preparation capabilities need to be improved."
"They should have a desktop version to work on the platform."
"The AutoML feature is very basic and they should improve it by using a more robust algorithm."
"This solution could be improved if they could integrate the data pipeline scheduling part for their interface."
"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."
"The regulatory requirements of the product need improvement."
"It would be great if the solution integrated Microsoft Copilot, its AI helper."
"The solution's initial setup process is complicated."
"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 installation process can be a bit complex."
"The product is expensive and needs the integration of more languages."
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."
"The solution is a little weak at the front end."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
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Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 50 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 35 reviews. Microsoft Azure Machine Learning Studio is rated 7.6, while SAS Visual Analytics is rated 8.0. 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 Alteryx, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Dataiku Data Science Studio and SAS Enterprise Miner.
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