Compare IBM SPSS Statistics vs. Weka

IBM SPSS Statistics is ranked 6th in Data Mining with 4 reviews while Weka which is ranked 8th in Data Mining. IBM SPSS Statistics is rated 6.8, while Weka 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 Weka is most compared with KNIME, IBM SPSS Modeler and IBM SPSS Statistics.
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IBM SPSS Statistics Logo
6,716 views|3,054 comparisons
Weka Logo
6,955 views|3,398 comparisons
Most Helpful Review
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: July 2019.
360,852 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
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
6th
out of 16 in Data Mining
Views
6,716
Comparisons
3,054
Reviews
4
Average Words per Review
266
Avg. Rating
6.8
8th
out of 16 in Data Mining
Views
6,955
Comparisons
3,398
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 10% of the time.
Compared 63% of the time.
Compared 11% of the time.
Compared 10% of the time.
Also Known As
SPSS Statistics
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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.Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
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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-TILDA
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Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: July 2019.
360,852 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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