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 product supports open-source tools."
"It helps in building customized models, which are easy for clients to use."
"The initial setup is very simple and straightforward."
"The most valuable feature is the knowledge bank, which allows us to ask questions and the AI will automatically pull the pre-prescribed responses."
"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."
"The AutoML is helpful when you're starting to explore the problem that you're trying to solve."
"In terms of what I found most valuable in Microsoft Azure Machine Learning Studio, I especially love the designer because you can just drag and drop items there and apply the logic that's already available with the designer. I love that I can use the libraries in Microsoft Azure Machine Learning Studio, so I don't have to search for the algorithms and all the relevant libraries because I can see them directly on the designer just by dragging and dropping. Though there's a bit of work during data cleansing, that's normal and can't be avoided. At least it's easy to find the relevant algorithm, apply that algorithm to the data, then get the desired output through Microsoft Azure Machine Learning Studio. I also like the API feature of the solution which is readily available for me to expose the output to any consuming application, so that takes out a lot of headache. Otherwise, I have to have a developer who knows the API, and I have to have an API app, so all that is completely taken care of by the Microsoft Azure Machine Learning Studio designer. With the solution, I can concentrate on how to improve the data quality to get quality recommendations, so this lets me concentrate on my job rather than focusing on the regular development of APIs or the pipelines, in particular, the data pipelines pulling the data from other sources. All the data is taken care of and you can also concentrate on other required auxiliary activities rather than just concentrating on machine learning."
"Scalability, in terms of running experiments concurrently is good. At max, I was able to run three different experiments concurrently."
"I use Visual Analytics for enterprise reporting."
"Great for handling complex data models."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"It's a stable, reliable product."
"It provided the capability to visualize a bunch of data in an organized way."
"The speed to display charts and react to users' choices is great."
"Simplifies report designs and quickly displays tables and graphs."
"The technical support services are good."
"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."
"The product must improve its documentation."
"Integration with social media would be a valuable enhancement."
"Using the solution requires some specific learning which can take some time."
"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 solution should be more customizable. There should be more algorithms."
"The data preparation capabilities need to be improved."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"The solution should improve its graphics."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"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."
"Colours used on report objects"
"There is a need for coding when it comes to digital reporting which can be intimidating."
"The licensing ends up being more expensive than other options."
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Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 51 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 Anaconda, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Dataiku and SAS Enterprise Miner.
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