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."When you import the dataset you can see the data distribution easily with graphics and statistical measures."
"Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills."
"It helps in building customized models, which are easy for clients to use."
"The graphical nature of the output makes it very easy to create PowerPoint reports as well."
"The most valuable feature is the knowledge bank, which allows us to ask questions and the AI will automatically pull the pre-prescribed responses."
"The UI is very user-friendly and that AI is easy to use."
"ML Studio is very easy to maintain."
"The product's standout feature is a robust multi-file network with limited availability."
"The most valuable feature is the ease of setting up visualizations."
"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 performance."
"The idea that you don't have to generate reports each day but they are sent automatically is great."
"In the future, I would like to see more AI consultation like image and video classification, and improvement in the presentation of data."
"The data cleaning functionality is something that could be better and needs to be improved."
"There's room for improvement in terms of binding the integration with Azure DevOps."
"The solution's initial setup process is complicated."
"We can create a label job, but we still have to use the Azure Machine Learning REST APIs, which are not yet supported in the Python SDK version 2."
"It is not easy. It is a complex solution. It takes some time to get exposed to all the concepts. We're trying to have a CI/CD pipeline to deploy a machine learning model using negative actions. It was not easy. The components that we're using might have something to do with this."
"This solution could be improved if they could integrate the data pipeline scheduling part for their interface."
"Microsoft Azure Machine Learning Studio worked okay for me, so right now, I don't have any room for improvement in mind for it. What I'd like added to Microsoft Azure Machine Learning Studio in its next version is a categorization for use cases or a template that makes the use cases simple to map out, for example, for healthcare, medical, or finance use cases, etc. This would be very helpful for users of Microsoft Azure Machine Learning Studio, especially for beginners."
"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."
"I would like the visualization for the map of countries to be more easily configurable."
"The scripting for customization could be improved."
"Additional templates would help to get things moving more quickly in terms of getting the reports out."
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Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 51 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 Google Vertex AI, Databricks, Azure OpenAI, TensorFlow and Google Cloud AI Platform, whereas TIBCO Data Science is most compared with TIBCO Statistica, MathWorks Matlab, Amazon SageMaker and Dataiku.
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