Compare Microsoft Azure Machine Learning Studio vs. TIBCO Data Science

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Find out what your peers are saying about Microsoft Azure Machine Learning Studio vs. TIBCO Data Science and other solutions. Updated: November 2020.
448,290 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"The most valuable feature of this solution is the ability to use all of the cognitive services, prebuilt from Azure.""The most valuable feature is data normalization.""The UI is very user-friendly and that AI is easy to use.""The solution is very fast and simple for a data science solution.""Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills.""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 AutoML is helpful when you're starting to explore the problem that you're trying to solve.""The interface is very intuitive."

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"The idea that you don't have to generate reports each day but they are sent automatically is great.""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 most valuable feature is the performance."

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Cons
"If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice.""The data cleaning functionality is something that could be better and needs to be improved.""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 solution should be more customizable. There should be more algorithms.""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.""Integration with social media would be a valuable enhancement.""The AutoML feature is very basic and they should improve it by using a more robust algorithm.""The data preparation capabilities need to be improved."

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"Additional templates would help to get things moving more quickly in terms of getting the reports out.""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."

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Pricing and Cost Advice
"When we got our first models and were ready for the user acceptance testing, our licensing fees were between €2,500 ($2,750 USD) and €3,000 ($3,300 USD) monthly.""From a developer's perspective, I find the price of this solution high."

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Questions from the Community
Top Answer: Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills.
Top Answer: The pricing and licensing are difficult to explain to clients. Their rationale for what things cost and why are not easy to explain.
Top Answer: I used Azure Machine Learning in a free trial and I had a complete preview of the service. A problem that I encountered was that I had a model that I wanted to deploy and use on Azure Machine… more »
Top Answer: The most valuable feature is the performance.
Top Answer: This solution is less expensive than Tableau, which is quite pricey.
Top Answer: The scripting for customization could be improved.
Ranking
5th
Views
13,618
Comparisons
10,892
Reviews
10
Average Words per Review
561
Avg. Rating
7.6
16th
Views
789
Comparisons
602
Reviews
4
Average Words per Review
590
Avg. Rating
7.5
Popular Comparisons
Also Known As
Azure Machine LearningAlpine Data Chorus
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Microsoft
TIBCO
Overview

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.

Offer
Learn more about Microsoft Azure Machine Learning Studio
Learn more about TIBCO Data Science
Sample Customers
Walgreens Boots Alliance, Schneider Electric, BPHavas Media, Tipping Point Community, eviCore
Top Industries
VISITORS READING REVIEWS
Computer Software Company30%
Comms Service Provider16%
Insurance Company6%
K 12 Educational Company Or School6%
VISITORS READING REVIEWS
Computer Software Company23%
Comms Service Provider21%
Energy/Utilities Company15%
Manufacturing Company11%
Company Size
REVIEWERS
Small Business46%
Midsize Enterprise8%
Large Enterprise46%
No Data Available
Find out what your peers are saying about Microsoft Azure Machine Learning Studio vs. TIBCO Data Science and other solutions. Updated: November 2020.
448,290 professionals have used our research since 2012.

Microsoft Azure Machine Learning Studio is ranked 5th in Data Science Platforms with 10 reviews while TIBCO Data Science is ranked 16th in Data Science Platforms with 4 reviews. 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, Alteryx, Amazon SageMaker, IBM Watson Studio and KNIME, whereas TIBCO Data Science is most compared with TIBCO Statistica, Dataiku Data Science Studio, IBM SPSS Statistics, MathWorks Matlab and Amazon SageMaker. See our Microsoft Azure Machine Learning Studio vs. TIBCO Data Science report.

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