Compare SAS Analytics vs. Weka

SAS Analytics is ranked 4th in Data Mining with 5 reviews while Weka is ranked 8th in Data Mining. SAS Analytics is rated 9.6, while Weka is rated 0. The top reviewer of SAS Analytics writes "It provides virtually everything we need to continuously improve our accuracy". On the other hand, SAS Analytics is most compared with KNIME, IBM SPSS Modeler and IBM Watson Explorer, whereas Weka is most compared with KNIME, IBM SPSS Modeler and IBM SPSS Statistics.
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SAS Analytics Logo
2,255 views|1,776 comparisons
Weka Logo
3,453 views|3,195 comparisons
Most Helpful Review
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: December 2019.
384,147 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
​The cost for SAS Business Intelligence can prove to be a little prohibitive.​​Setup costs were quite reasonable.Prices were comparable with alternative solutions.Licensing was rather straightforward.It is relatively expensive. It is not an easy software to afford.

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384,147 professionals have used our research since 2012.
Ranking
4th
out of 16 in Data Mining
Views
2,255
Comparisons
1,776
Reviews
5
Average Words per Review
181
Avg. Rating
9.6
8th
out of 16 in Data Mining
Views
3,453
Comparisons
3,195
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 36% of the time.
Compared 24% of the time.
Compared 11% of the time.
Compared 60% of the time.
Compared 12% of the time.
Compared 10% of the time.
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SAS
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Overview
SAS was founded in 1976 and actually began as a project at North Carolina State University to analyze agriculture research. It has since become a global company that is recognized for its innovation in data analytics and business intelligence. SAS is redefining what's possible with data analytics through greater efficiency, strong information value chains, effective collaboration tools, and state-of-the-art visualization software. SAS Analytics is designed for use in a variety of industries including government, manufacturing, higher education, defense & security, banking, automotive, communications, and much more. SAS Analytics is a business intelligence (BI) solution that has the ability to reveal patterns and anomalies in data, identify relationships and different variables, and predict future outcomes. Users of SAS Analytics will benefit from making more sound, better informed business decisions based on company data and market trends. Data mining, data visualization, text analytics, forecasting, statistical analysis, and more are all available through SAS Analytics. Staples, which boasts $27 billion in sales across the globe, has a business philosophy that prioritizes customer loyalty and satisfaction. In order to better engage their customers, Staples utilizes SAS Analytics to plan finely tuned marketing campaigns. Through forecasting and advanced analytics, Staples has been able to rely on fewer contractors, and cut their marketing budget, while improving their customer retention rate.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
Aegon, Alberta Parks, Amway China, Axel Springer, Bank of America, Belgium Special Tax, CAP Index, CareSource, CBE Group, Cemig, Center for Responsible Lending, CESCE, Ceska sporitelna, Chantecler, Chico's, Chubb Group of Insurance Companies, CIGNA Thailand, City of Wiesbaden, Germany, Confused.com, Creditreform, Des Moines Area Community College, Deutsche Lufthansa, Directorate of Economics and Statistics, DIRECTV, Dow Chemical Company, Dow Chemical Company, Dun & Bradstreet, EDF Energy, Electrabel GDF SUEZ, ERGO Insurance Group, Erste Bank Croatia, Farmers Mutual Group, Finnair, Florida Department of Corrections, Geneia, Generali Hellas, Genting Malaysia Berhad, Grameenphone, Grandi Salumifici Italiani, HealthPartners, Highmark, Hong Kong Efficiency Unit, HP, Hyundai Securities, Illinois Department of Healthcare and Family ServicesInc Research, ING-DiBa, Institut Pertanian Bogor, InterContinental Hotels Group (IHG), IOM, Kelley Blue Book, Lenovo, Lillebaelt Hospital, Los Angeles County, Maspex Wadowice Group, National Bank of Greece, New Zealand Ministry of Health, New Zealand Ministry of Social Development, Nippon Paper, NMIMS, North Carolina Department of Transportation, North Carolina Office of Information Technology Services, Northern Virginia Electric Cooperative (NOVEC), Oberweis Dairy, ODEC, Ohio Mutual Insurance Group, Oklahoma State University, OneBeacon, Orange Business Services, Orange County Child Support Services, Organic, Orlando Magic, OTP Bank, Plano Independent School District, Project Odyssey, Royal Society for the Protection of Birds, RSA Canada, SCAD, Scotiabank, Singapore National Library Board, Sobeys Inc., SRA International, Staples, Statistics Estonia, Swisscom, SymphonyIRI Group, Telecom Italia, Telef‹nica O2, Town of Cary, Transitions Optical, TrueCar, Turkcell Superonline, UniCredit Bank Serbia, University of Alabama, University of Missouri, USDA National Agricultural Statistics Service
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Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: December 2019.
384,147 professionals have used our research since 2012.
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