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 most valuable feature is its compatibility with Tensorflow."
"Azure Machine Learning Studio's most valuable features are the package from Azure AutoML. It is quite powerful compared to the building of ML in Databricks or other AutoMLs from other companies, such as Google and Amazon."
"It has helped in reducing the time involved for coding using R and/or Python."
"The most valuable feature of the solution is the availability of ChatGPT in the solution."
"I like that it's totally easy to use. They have an AutoML solution, and their machine learning model is highly accurate. They also have a feature that can explain the machine learning model. This makes it easy for me to understand that model."
"The product supports open-source tools."
"It's good for citizen data scientists, but also, other people can use Python or .NET code."
"The solution is integrated with our Microsoft Azure tenant, and we don't have to go anywhere else outside the tenant."
"What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"I use Visual Analytics for enterprise reporting."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"Simplifies report designs and quickly displays tables and graphs."
"We've found the product to be stable and reliable."
"The technical support services are good."
"Great for handling complex data models."
"The data processor can pose a bit of a challenge, but the real complexity is determined by the skill of the implementation team."
"Integration with social media would be a valuable enhancement."
"A problem that I encountered was that I had to pay for the model that I wanted to deploy and use on Azure Machine Learning, but there wasn't any option that that model can be used in the designer."
"Enable creating ensemble models easier, adding more machine learning algorithms."
"There should be data access security, a role level security. Right now, they don't offer this."
"There's room for improvement in terms of binding the integration with Azure DevOps."
"When you use different Microsoft tools, there are different pricing metrics. It doesn't make sense. The pricing metrics are quire difficult to understand and should be either clarified or simplified. It would help us sell the solution to customers."
"The initial setup time of the containers to run the experiment is a bit long."
"The product is expensive and needs the integration of more languages."
"The licensing ends up being more expensive than other options."
"The solution should improve its graphics."
"It is not as mature as competitors such as Tableau and QlikView."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"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 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."
"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 47 reviews while SAS Visual Analytics is ranked 7th 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 Databricks, Google Vertex AI, Azure OpenAI, TensorFlow and RapidMiner, 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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