SAS Analytics vs Weka comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between SAS Analytics and Weka based on real PeerSpot user reviews.

Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed SAS Analytics vs. Weka Report (Updated: November 2022).
657,397 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
"It's very easy to use once you learn it.""The technical support is okay.""All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."

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"Weka is a very nice tool, it needs very small requirements. If I want to implement something in Python, I need a lot of memory and space but Weka is very lightweight. Anyone can implement any kind of algorithm, and we can show the results immediately to the client using the one-page feature. The client always wants to know the story. They want the result.""It doesn’t cost anything to use the product.""Weka's best features are its user-friendly graphic interface interpretation of data sets and the ease of analyzing data."

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"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities.""The installation could also be easier, and the price could be better.""One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."

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"If you have one missing value in your dataset and this missing value belongs to a specific attribute and the attribute is a numeric attribute and there is only one missing data, whenever you import this data, the problem is that Weka cannot understand that this is a numeric field. It converts everything into a string, and there is no way to convert the string into numerical math. It's really very complicated.""A few people said it became slow after a while.""Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science."

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Pricing and Cost Advice
  • "I think that the cost-benefit ratio is okay."
  • "SAS is very expensive."
  • "Our licensing covers the usage for around 50 data analysts."
  • More SAS Analytics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It's very easy to use once you learn it.
    Top Answer:SAS is very expensive. The challenge with them is that you have to pay for a license with every module you buy. They should probably combine everything and make it cheaper and light weight in Base… more »
    Top Answer:I would recommend SAS for large organizations because of the cost of this enterprise-level solution. For a small organization, I would recommend a cheaper solution. On a scale from one to ten, I would… more »
    Top Answer:There are many options where you can fill all of the data pre-processing options that you can implement when you're importing the data. You can also normalize the data and standardize it in an easier… more »
    Top Answer:I like how the classification and prediction work. We should use Weka because the path is very big and much better. If there are a lot more lines of code, then we should use another language.
    Top Answer:The product is good, but I would like it to work with big data. I know it has a Spark integration they could use to do analysis in clusters, but it's not so clear how to use it. In this case, it would… more »
    out of 15 in Data Mining
    Average Words per Review
    out of 15 in Data Mining
    Average Words per Review
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    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.
    Learn more about SAS Analytics
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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,, 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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    Top Industries
    Healthcare Company22%
    Financial Services Firm22%
    Insurance Company11%
    Comms Service Provider16%
    Computer Software Company15%
    Financial Services Firm12%
    Healthcare Company7%
    Comms Service Provider17%
    Educational Organization17%
    Computer Software Company9%
    Company Size
    Small Business27%
    Midsize Enterprise9%
    Large Enterprise64%
    Small Business22%
    Midsize Enterprise11%
    Large Enterprise67%
    Small Business18%
    Midsize Enterprise17%
    Large Enterprise65%
    Buyer's Guide
    SAS Analytics vs. Weka
    November 2022
    Find out what your peers are saying about SAS Analytics vs. Weka and other solutions. Updated: November 2022.
    657,397 professionals have used our research since 2012.

    SAS Analytics is ranked 5th in Data Mining with 3 reviews while Weka is ranked 4th in Data Mining with 3 reviews. SAS Analytics is rated 9.0, while Weka is rated 7.6. The top reviewer of SAS Analytics writes "A user-friendly, easy coding analytics solution that is good for typical predictive analytics". On the other hand, the top reviewer of Weka writes "Can plug in any machine learning algorithm and it works perfectly but needs better visualization ". SAS Analytics is most compared with KNIME, IBM SPSS Modeler, SAS Enterprise Miner, Oracle Advanced Analytics and IBM SPSS Statistics, whereas Weka is most compared with KNIME, IBM SPSS Statistics, IBM SPSS Modeler, Oracle Advanced Analytics and SAS Enterprise Miner. See our SAS Analytics vs. Weka report.

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    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.