IBM SPSS Statistics vs. Weka

IBM SPSS Statistics is ranked 4th in Data Mining with 4 reviews vs Weka which is ranked 7th in Data Mining. 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, MathWorks Matlab and Weka. Weka is most compared with KNIME, IBM SPSS Modeler and SAS Analytics.
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IBM SPSS Statistics Logo
5,760 views|3,689 comparisons
Weka Logo
6,086 views|3,714 comparisons
Most Helpful Review
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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
4th
out of 16 in Data Mining
Views
5,760
Comparisons
3,689
Reviews
4
Followers
214
Avg. Rating
6.8
7th
out of 16 in Data Mining
Views
6,086
Comparisons
3,714
Reviews
0
Followers
225
Avg. Rating
N/A
Top Comparisons
Compared 9% of the time.
Compared 68% of the time.
Compared 10% of the time.
Compared 8% of the time.
Also Known As
SPSS Statistics
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Weka
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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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Top Industries
VISITORS READING REVIEWS
Financial Services Firm18%
University13%
Pharma/Biotech Company11%
Retailer11%
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