We performed a comparison between Microsoft Azure Machine Learning Studio and Teradata Analytics [EOL] 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's good for citizen data scientists, but also, other people can use Python or .NET code."
"The graphical nature of the output makes it very easy to create PowerPoint reports as well."
"The solution facilitates our production."
"MLS allows me to set up data experiments by running through various regression and other machine learning algorithms, with different data cleaning and treatment tools. All of this can be achieved via drag and drop, and a few clicks of the mouse."
"Visualisation, and the possibility of sharing functions are key features."
"One of the notable advantages is that it offers both a visual designer, which is user-friendly, and an advanced coding option."
"It's easy to deploy."
"Provides ease of formulating a solution based on SQL-like queries."
"It has been fantastic for running complete data sets (no sampling required)."
"nPath has made journey/path analysis much easier."
"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."
"The solution should be more customizable. There should be more algorithms."
"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."
"I think it should be made cheaper for certain people…It may appear costlier for those who don't consider time important."
"In the Machine Learning Studio, particularly the Designer part, which is essentially Azure's demo designer, there is room for improvement. Many customers and users tend to switch to Microsoft Azure Multi-Joiners, which is a more basic version, but they do so internally. One area that could use enhancement is the process of connecting components. Currently, every time you want to connect a component, such as linking it to your storage or an instance like EC2, you have to input your username and password repeatedly. This can be quite cumbersome. Google, for instance, has made it more user-friendly by allowing easy access for connecting services within a workspace. In a workspace, you can set up various resources like storage, a database cluster, machine learning studio, and more. When connecting these services, there's no need to enter your username and password each time, making it a more efficient process. Another aspect to consider is the role of the designer, and they were to integrate a large language model to handle various tasks, it could significantly enhance the overall scalability and usability of the platform."
"The solution's initial setup process is complicated."
"I have found some problems with the figures depicted on graphs and figures shown, like scores which could not be negative but which were depicted as such."
"We have struggled with uptime. Some of the features need to be updated."
"I would like to see more/better documentation. They also need to enhance analytic/data science algorithms."
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Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 50 reviews while Teradata Analytics [EOL] doesn't meet the minimum requirements to be ranked in Data Science Platforms. Microsoft Azure Machine Learning Studio is rated 7.6, while Teradata Analytics [EOL] is rated 7.0. 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 Teradata Analytics [EOL] writes "Streamlines formulating solutions based on SQL-like queries". Microsoft Azure Machine Learning Studio is most compared with Google Vertex AI, Databricks, Azure OpenAI, TensorFlow and Google Cloud AI Platform, whereas Teradata Analytics [EOL] is most compared with .
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