Compare IBM SPSS Statistics vs. TIBCO Spotfire S+

IBM SPSS Statistics is ranked 5th in Data Mining with 4 reviews while TIBCO Spotfire S+ is ranked 13th in Data Mining. IBM SPSS Statistics is rated 7.8, while TIBCO Spotfire S+ is rated 0. The top reviewer of IBM SPSS Statistics writes "Anomaly detection, with a useful algorithm handbook, but it's not scalable". On the other hand, IBM SPSS Statistics is most compared with IBM SPSS Modeler, Weka and MathWorks Matlab, whereas TIBCO Spotfire S+ is most compared with KNIME.
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Most Helpful Review
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Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: November 2019.
383,162 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:

Pricing and Cost Advice
We think that IBM SPSS is expensive for this function.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.

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Ranking
5th
out of 16 in Data Mining
Views
3,443
Comparisons
2,839
Reviews
3
Average Words per Review
429
Avg. Rating
8.0
13th
out of 16 in Data Mining
Views
167
Comparisons
121
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 11% of the time.
Compared 100% of the time.
Also Known As
SPSS StatisticsSpotfire S+
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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.The Spotfire S+ product family provides statisticians and quantitative analysts with a broad array of predictive analytic and statistical analysis tools for powerful and effective data analysis, including statistical graphics that can rapidly convey unique insights into your data. These tools can be rapidly customized and extended to match the specific considerations and analytic requirements of your business. These analytic applications can then be rapidly deployed to provide insight to your business decision makers, and integrated into repeatable, validated processes within your organization.
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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-TILDAAllergan, AstraZeneca, Bank of Montreal, Bardess, Beeline, BUCS Analytics, Cargill ETM, CargoSmart, Cement Bloc, Cisco, Citibank Brazil, Dana Farber, eClinicalWorks, FrieslandCampina, Marks and Spencer, NetApp, NXP Semiconductors
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: November 2019.
383,162 professionals have used our research since 2012.
We monitor all Data Mining 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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