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."It is a stable, reliable product."
"It has a lot of data connectors, which is extremely helpful."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"The solution is very easy to use."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video."
"The scalability of IBM Watson Studio is great."
"Split dataset, variety of algorithms, visualizing the data, and drag and drop capability are the features I appreciate most."
"The product's standout feature is a robust multi-file network with limited availability."
"The most valuable feature of the solution is the availability of ChatGPT in the solution."
"The solution is very fast and simple for a data science solution."
"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."
"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."
"The solution is scalable."
"The solution is easy to use and has good automation capabilities in conjunction with Azure DevOps."
"We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers."
"We would like to see it more web-based with more functionality."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"I think maybe the support is an area where it lacks."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"I want IBM's technical support team to provide more specific answers to queries."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"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."
"The price could be improved."
"It could use to add some more features in data transformation, time series and the text analytics section."
"The product must improve its documentation."
"Microsoft Azure Machine Learning Studio could improve by adding pixel or image analysis. This is a priority for me."
"Integration with social media would be a valuable enhancement."
"If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice."
"The regulatory requirements of the product need improvement."
"Enable creating ensemble models easier, adding more machine learning algorithms."
More Microsoft Azure Machine Learning Studio Pricing and Cost Advice →
IBM Watson Studio is ranked 9th in Data Science Platforms with 13 reviews while Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 47 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 IBM SPSS Modeler, whereas Microsoft Azure Machine Learning Studio is most compared with Databricks, Google Vertex AI, Azure OpenAI, TensorFlow and IBM SPSS Statistics. See our IBM Watson Studio vs. Microsoft Azure Machine Learning Studio report.
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