We performed a comparison between Microsoft Azure Machine Learning Studio and TIBCO Data Science based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."Microsoft Azure Machine Learning Studio is easy to use and deploy."
"The ability to do the templating and be able to transfer it so that I can easily do multiple types of models and data mining is a valuable aspect of this solution. You only have to set up the flows, the templates, and the data once and then you can make modifications and test different segmentations throughout."
"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."
"It's easy to deploy."
"The solution is integrated with our Microsoft Azure tenant, and we don't have to go anywhere else outside the tenant."
"Their support is helpful."
"The solution is easy to use and has good automation capabilities in conjunction with Azure DevOps."
"I like that it's totally easy to use. They have an AutoML solution, and their machine learning model is highly accurate. They also have a feature that can explain the machine learning model. This makes it easy for me to understand that model."
"The most valuable feature is the performance."
"We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost."
"The most valuable feature is the ease of setting up visualizations."
"The idea that you don't have to generate reports each day but they are sent automatically is great."
"It could use to add some more features in data transformation, time series and the text analytics section."
"I would like to see modules to handle Deep Learning frameworks."
"Stability-wise, you may face certain problems when you fail to refresh the data in the solution."
"The initial setup time of the containers to run the experiment is a bit long."
"Technical support could improve their turnaround time."
"Operability with R could be improved."
"This solution could be improved if they could integrate the data pipeline scheduling part for their interface."
"The solution's initial setup process is complicated."
"Additional templates would help to get things moving more quickly in terms of getting the reports out."
"I would like the visualization for the map of countries to be more easily configurable."
"The scripting for customization could be improved."
"In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues."
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Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 47 reviews while TIBCO Data Science is ranked 25th in Data Science Platforms. Microsoft Azure Machine Learning Studio is rated 7.6, while TIBCO Data Science 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 TIBCO Data Science writes "A straightforward initial setup and good reporting but needs better documentation". Microsoft Azure Machine Learning Studio is most compared with Databricks, Google Vertex AI, Azure OpenAI, TensorFlow and Google Cloud AI Platform, whereas TIBCO Data Science is most compared with TIBCO Statistica, MathWorks Matlab, Amazon SageMaker and Dataiku Data Science Studio.
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