We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills."
"The initial setup is very simple and straightforward."
"The interface is very intuitive."
"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 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."
"The solution is easy to use and has good automation capabilities in conjunction with Azure DevOps."
"Azure's AutoML feature is probably better than the competition."
"The solution is very fast and simple for a data science solution."
"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."
"The data preparation capabilities need to be improved."
"It would be nice if the product offered more accessibility in general."
"Integration with social media would be a valuable enhancement."
"When you use different Microsoft tools, there are different pricing metrics. It doesn't make sense. The pricing metrics are quire difficult to understand and should be either clarified or simplified. It would help us sell the solution to customers."
"The interface is a bit overloaded."
"There should be data access security, a role level security. Right now, they don't offer this."
"The data cleaning functionality is something that could be better and needs to be improved."
"The solution should be more customizable. There should be more algorithms."
"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."
"Additional templates would help to get things moving more quickly in terms of getting the reports out."
"The licensing cost is very cheap. It's less than $50 a month."
"From a developer's perspective, I find the price of this solution high."
"I am paying for it following a pay-as-you-go. So, the more I use it, the more it costs."
"There is a license required for this solution."
Earn 20 points
Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions.
It has everything you need to create complete predictive analytics solutions in the cloud, from a large algorithm library, to a studio for building models, to an easy way to deploy your model as a web service. Quickly create, test, operationalize, and manage predictive models.
TIBCO Spotfire Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.
Microsoft Azure Machine Learning Studio is ranked 4th in Data Science Platforms with 16 reviews while TIBCO Data Science is ranked 19th in Data Science Platforms with 4 reviews. Microsoft Azure Machine Learning Studio is rated 7.8, while TIBCO Data Science is rated 7.6. The top reviewer of Microsoft Azure Machine Learning Studio writes "Has the ability to do templating and transfer it so that we can do multiple types of models and data mining". 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, Dataiku Data Science Studio, IBM Watson Studio, Alteryx and KNIME, whereas TIBCO Data Science is most compared with TIBCO Statistica, KNIME, Dataiku Data Science Studio, Alteryx and IBM SPSS Statistics. See our Microsoft Azure Machine Learning Studio vs. TIBCO Data Science report.
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We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.