IBM SPSS Statistics vs Weka

IBM SPSS Statistics is ranked 3rd in Data Mining with 4 reviews vs Weka which is ranked 5th in Data Mining with 0 reviews. The top reviewer of IBM SPSS Statistics writes "Provides a good number of modelling techniques although data visualization is not easy to do". IBM SPSS Statistics is most compared with IBM SPSS Modeler, KNIME and TIBCO Spotfire S+. Weka is most compared with KNIME, IBM SPSS Modeler and SAS Analytics.
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Most Helpful Review
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Quotes From Members Comparing IBM SPSS Statistics vs Weka

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.

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Data mining report from it central station 2018 01 27 thumbnail
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining.
252,993 professionals have used our research since 2012.
Ranking
RANKING
Views
4,693
Comparisons
3,724
Reviews
4
Followers
397
Avg. Rating
6.8
Views
4,908
Comparisons
3,798
Reviews
0
Followers
370
Avg. Rating
N/A
Top Comparisons
Top Comparisons
Uimhresp 400x400
Compared 6% of the time.
See more IBM SPSS Statistics competitors »
Uimhresp 400x400
Compared 28% of the time.
Ibm
Compared 16% of the time.
Sas
Compared 10% of the time.
See more Weka competitors »
Also Known As
Also Known AsSPSS Statistics
Website/Video
Website/VideoIBM
  • Vendor 7400 screenshot 1514653938
Weka
  • Vendor 29286 screenshot 1514070347
OverviewQuestionmark icon
OverviewYour 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.
Sample Customers
Sample CustomersLDB 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
Information Not Available
Top IndustriesQuestionmark icon
Top Industries
VISITORS READING REVIEWS
Financial Services Firm
17%
University
13%
Pharma/Biotech Company
11%
Retailer
11%
No Data Available
Data mining report from it central station 2018 01 27 thumbnail
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining.
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252,993 professionals have used our research since 2012.
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