We performed a comparison between IBM Watson Studio and Microsoft Azure Machine Learning Studio 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."For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people."
"The system's ability to take a look at data, segment it and then use that data very differently."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"It is a stable, reliable product."
"The scalability of IBM Watson Studio is great."
"It has a lot of data connectors, which is extremely helpful."
"The drag-and-drop interface of Azure Machine Learning Studio has greatly improved my workflow."
"It is very easy to test different kinds of machine-learning algorithms with different parameters. You choose the algorithm, drag and drop to the workspace, and plug the dataset into this component."
"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."
"ML Studio is very easy to maintain."
"The most valuable feature is data normalization."
"It's a great option if you are fairly new and don't want to write too much code."
"The solution's interface is very slow at times."
"The decision making in their decision making feature is less good than other options."
"Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge."
"I think maybe the support is an area where it lacks."
"We would like to see it more web-based with more functionality."
"So a better user interface could be very helpful"
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs."
"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 regulatory requirements of the product need improvement."
"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."
"The solution cannot connect to private block storage."
"I think it should be made cheaper for certain people…It may appear costlier for those who don't consider time important."
"If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice."
"Microsoft should also include more examples and tutorials for using this product."
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IBM Watson Studio is ranked 10th in Data Science Platforms with 13 reviews while Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 51 reviews. IBM Watson Studio is rated 8.2, while Microsoft Azure Machine Learning Studio is rated 7.6. The top reviewer of IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". On the other hand, the top reviewer of Microsoft Azure Machine Learning Studio writes "Good support for Azure services in pipelines, but deploying outside of Azure is difficult". IBM Watson Studio is most compared with Databricks, Azure OpenAI, Google Vertex AI, Amazon Comprehend and Anaconda, whereas Microsoft Azure Machine Learning Studio is most compared with Google Vertex AI, Databricks, Azure OpenAI, TensorFlow and IBM SPSS Statistics. See our IBM Watson Studio vs. Microsoft Azure Machine Learning Studio report.
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