Compare IBM SPSS Statistics vs. TIBCO Spotfire Data Science

IBM SPSS Statistics is ranked 10th in Data Science Platforms with 4 reviews while TIBCO Spotfire Data Science which is ranked 23rd in Data Science Platforms. IBM SPSS Statistics is rated 6.8, while TIBCO Spotfire Data Science is rated 0. The top reviewer of IBM SPSS Statistics writes "Provides a good number of modelling techniques although data visualization is not easy to do". On the other hand, IBM SPSS Statistics is most compared with IBM SPSS Modeler, MathWorks Matlab and Weka, whereas TIBCO Spotfire Data Science is most compared with TIBCO Statistica, KNIME and Dataiku Data Science Studio.
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Most Helpful Review
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Quotes From Members

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Pricing and Cost Advice
Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure.More affordable training for new staff members.If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer.

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Ranking
10th
Views
6,716
Comparisons
3,054
Reviews
4
Average Words per Review
266
Avg. Rating
6.8
23rd
Views
463
Comparisons
341
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 10% of the time.
Compared 19% of the time.
Also Known As
SPSS StatisticsAlpine Data Chorus
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IBM
TIBCO
Overview
Your organization has more data than ever, but spreadsheets and basic statistical analysis tools limit its usefulness. IBM SPSS Statistics software can help you find new relationships in the data and predict what will likely happen next. Virtually eliminate time-consuming data prep; and quickly create, manipulate and distribute insights for decision making.

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
LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDAHavas Media, Tipping Point Community, eviCore
Find out what your peers are saying about Knime, IBM, Alteryx and others in Data Science Platforms. Updated: August 2019.
360,284 professionals have used our research since 2012.
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.
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