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 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."
"The initial setup is very simple and straightforward."
"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."
"Scalability, in terms of running experiments concurrently is good. At max, I was able to run three different experiments concurrently."
"The solution is scalable."
"The most valuable feature is the knowledge bank, which allows us to ask questions and the AI will automatically pull the pre-prescribed responses."
"The learning curve is very low. Operationalizing the model is also very easy within the Azure ecosystem."
"Its ability to publish a predictive model as a web based solution and integrate R and python codes are amazing."
"The flexibility of the configuration is valuable to me."
"Simplifies report designs and quickly displays tables and graphs."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"It's relatively simple to create basic dashboards and reports."
"Data handling is one of the best features of SAS Visual Analytics."
"The product is stable, reliable, and scalable."
"We've found the product to be stable and reliable."
"Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools."
"One area where Azure Machine Learning Studio could improve is its user interface structure."
"Microsoft Azure Machine Learning Studio could improve by adding pixel or image analysis. This is a priority for me."
"It is not easy. It is a complex solution. It takes some time to get exposed to all the concepts. We're trying to have a CI/CD pipeline to deploy a machine learning model using negative actions. It was not easy. The components that we're using might have something to do with this."
"The price of the solution has room for improvement."
"It would be great if the solution integrated Microsoft Copilot, its AI helper."
"This solution could be improved if they could integrate the data pipeline scheduling part for their interface."
"The data preparation capabilities need to be improved."
"Microsoft should also include more examples and tutorials for using this product."
"The installation process can be a bit complex."
"The solution should improve its graphics."
"Colours used on report objects"
"The solution is a little weak at the front end."
"A bit more flexibility in the temperatization will be helpful."
"It is not as mature as competitors such as Tableau and QlikView."
"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."
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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 Alteryx, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Dataiku and SAS Enterprise Miner.
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