We performed a comparison between Microsoft Azure Machine Learning Studio and SAS Enterprise Miner based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Split dataset, variety of algorithms, visualizing the data, and drag and drop capability are the features I appreciate most."
"Microsoft Azure Machine Learning Studio is easy to use and deploy."
"The UI is very user-friendly and that AI is easy to use."
"It helps in building customized models, which are easy for clients to use."
"The solution is very easy to use, so far as our data scientists are concerned."
"The solution is really scalable."
"ML Studio is very easy to maintain."
"It's good for citizen data scientists, but also, other people can use Python or .NET code."
"he solution is scalable."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The solution is able to handle quite large amounts of data beautifully."
"The technical support is very good."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"I like the way the product visually shows the data pipeline."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"Good data management and analytics."
"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 product must improve its documentation."
"They should have a desktop version to work on the platform."
"In terms of data capabilities, if we compare it to Google Cloud's BigQuery, we find a difference. When fetching data from web traffic, Google can do a lot of processing with small queries or functions."
"Integration with social media would be a valuable enhancement."
"The AutoML feature is very basic and they should improve it by using a more robust algorithm."
"The platform's integration feature could be better."
"The regulatory requirements of the product need improvement."
"Technical support could be improved."
"The product must provide better integration with cloud-native technologies."
"The ease of use can be improved. When you are new it seems a bit complex."
"The visualization of the models is not very attractive, so the graphics should be improved."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"Virtualization could be much better."
"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."
"The solution is much more complex than other options."
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Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 49 reviews while SAS Enterprise Miner is ranked 15th in Data Science Platforms with 13 reviews. Microsoft Azure Machine Learning Studio is rated 7.6, while SAS Enterprise Miner is rated 7.6. 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 Enterprise Miner writes "A stable product that is easy to deploy and can be used for structured and unstructured data mining". Microsoft Azure Machine Learning Studio is most compared with Databricks, Google Vertex AI, Azure OpenAI, TensorFlow and Google Cloud AI Platform, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, RapidMiner, SAS Analytics and Alteryx. See our Microsoft Azure Machine Learning Studio vs. SAS Enterprise Miner report.
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