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Compare IBM SPSS Modeler vs. TIBCO Data Science

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Top Review
Find out what your peers are saying about IBM SPSS Modeler vs. TIBCO Data Science and other solutions. Updated: September 2021.
541,708 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
"Very good data aggregation.""It is a great product for running statistical analysis.""Automation is great and this product is very organized.""You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after.""The supervised models are valuable. It is also very organized and easy to use."

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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
"Requires more development.""It would be good if IBM added help resources to the interface.""Dimension reduction should be classified separately.""When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing.""Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."

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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
"$5,000 annually.""This tool, being an IBM product, is pretty expensive.""Its price is okay for a company, but for personal use, it is considered somewhat expensive."

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Questions from the Community
Top Answer: There are some important differences between both products. So probably, the first question I'll ask you is "for what use case are you evaluating these products?" Of course, there are some general… more »
Top Answer: The supervised models are valuable. It is also very organized and easy to use.
Top Answer: Its price is okay for a company, but for personal use, it is considered somewhat expensive.
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Ranking
8th
Views
7,429
Comparisons
5,931
Reviews
5
Average Words per Review
501
Rating
8.4
18th
Views
904
Comparisons
645
Reviews
4
Average Words per Review
590
Rating
7.5
Comparisons
Also Known As
SPSS Modeler
Alpine Data Chorus
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Overview

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

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https://www.ibm.com/products/spss-modeler/pricing
 
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https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947


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.

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Sample Customers
Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey
Havas Media, Tipping Point Community, eviCore
Top Industries
REVIEWERS
University23%
Financial Services Firm15%
Manufacturing Company12%
Government12%
VISITORS READING REVIEWS
Comms Service Provider24%
Computer Software Company19%
Educational Organization8%
Government6%
VISITORS READING REVIEWS
Computer Software Company29%
Comms Service Provider16%
Manufacturing Company11%
Pharma/Biotech Company7%
Company Size
REVIEWERS
Small Business24%
Midsize Enterprise6%
Large Enterprise71%
No Data Available
Find out what your peers are saying about IBM SPSS Modeler vs. TIBCO Data Science and other solutions. Updated: September 2021.
541,708 professionals have used our research since 2012.

IBM SPSS Modeler is ranked 8th in Data Science Platforms with 5 reviews while TIBCO Data Science is ranked 18th in Data Science Platforms with 4 reviews. IBM SPSS Modeler is rated 8.4, while TIBCO Data Science is rated 7.6. The top reviewer of IBM SPSS Modeler writes "User-friendly, and it gives you a lot of visibility through features like comparing fiscal quarters". On the other hand, the top reviewer of TIBCO Data Science writes "A straightforward initial setup and good reporting but needs better documentation". IBM SPSS Modeler is most compared with KNIME, IBM Watson Studio, IBM SPSS Statistics, Alteryx and Microsoft BI, whereas TIBCO Data Science is most compared with TIBCO Statistica, Dataiku Data Science Studio, KNIME, Alteryx and IBM SPSS Statistics. See our IBM SPSS Modeler 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.