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SAS Analytics vs Weka comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

SAS Analytics
Ranking in Data Mining
5th
Average Rating
9.2
Number of Reviews
11
Ranking in other categories
No ranking in other categories
Weka
Ranking in Data Mining
2nd
Average Rating
7.6
Reviews Sentiment
6.6
Number of Reviews
14
Ranking in other categories
Anomaly Detection Tools (4th)
 

Mindshare comparison

As of April 2025, in the Data Mining category, the mindshare of SAS Analytics is 6.1%, down from 9.1% compared to the previous year. The mindshare of Weka is 20.3%, down from 20.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining
 

Featured Reviews

AltanAtabarut - PeerSpot reviewer
Good interactive reports and dashboards but expensive to run
You need to constantly jump from data prep to visualization, then back to data for fixing quality, enriching, and visualizing again. Then you start modeling and need to switch back and forth again. Eventually, you have to democratize the results so that anyone can look and interactively question the underlying insights. For all of these purposes - data to BI or data to AI to BI - it is never a linear one way relationship; it's rather a closed loop for continuous analysis monitoring and sharing. If used this way, SAS Visual analytics can enable continuous improvement and innovation in a corporation.
AwaisAnwar - PeerSpot reviewer
Open source, good for basic data mining use cases except for the visualization results
I haven't found it particularly useful. It lacks state-of-the-art algorithms and impressive outcomes. While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results. Moreover, a new user interface would be great, especially for beginners. Something that guides them through the available tools and helps them achieve their goals. I haven't seen anything like that myself, though maybe it's there and I missed it.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It is able to connect to all major platforms, and all the smaller platforms that I have come across."
"They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy."
"All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."
"The most valuable feature is the ability to handle large data sets."
"The technical support is okay."
"Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features."
"It's very easy to use once you learn it."
"It has facilitated timely analysis results with quality work and meaningful output."
"With clustering, if it's a yes, it's a yes, if it's a no, it's a no. It gives you a 100% level of accuracy of a model that has been trained, and that is in most cases, usually misleading. Classification is highly valuable when done as opposed to clustering."
"It is a stable product."
"Weka's best features are its user-friendly graphic interface interpretation of data sets and the ease of analyzing data."
"Working with complicated algorithms in huge datasets is really easy in Weka."
"The path of machine learning in classification and clustering is useful. The GUI can get you results. No programming is needed. No need to write down your script first or send to your model or input your data."
"In Weka, anyone can access the program without being a programmer, which is a good feature since the entry cost is very low."
"Weka eliminates the need for coding, allowing you to easily set parameters and complete the majority of the machine learning task with just a few clicks."
"I mainly use this solution for the regression tree, and for its association rules. I run these two methodologies for Weka."
 

Cons

"Once a SAS figure is produced one would like to modify things, such as titles, legends, and incorporate risk sets as a footer on the plots."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"This solution should be made more user-friendly."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
"​Support at universities used to be limited, but I hear this is changing.​"
"The natural language querying and automated preparation of dashboards should be improved."
"They could enhance the AI capabilities of the product."
"The installation could also be easier, and the price could be better."
"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."
"I believe is there are a few newer algorithms that are not present in the Weka libraries. Whereas, for example, if I want to have a solution that involves deep learning, so I don't think that Weka has that capability. So in that case I have to use Python for ... predict any algorithms based on deep learning."
"While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results."
"Within the basic Weka tool, I don't see many tools that are available where we can analyze and visualize the data that well."
"Not particularly user friendly."
"The visualization of Weka is subpar and could improve. Machine learning and visualization do not work well together. For example, we want to know how we can we delete empty cells or how can we fill in the empty cells without cleaning the data system and putting it together."
"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."
 

Pricing and Cost Advice

"I rate the product’s pricing a one out of ten."
"Prices were comparable with alternative solutions."
"​Setup costs were quite reasonable."
"Licensing was rather straightforward."
"It is relatively expensive. It is not an easy software to afford."
"​The cost for SAS Business Intelligence can prove to be a little prohibitive.​"
"Our licensing covers the usage for around 50 data analysts."
"SAS is very expensive."
"We use the free version now. My faculty is very small."
"The solution is free and open-source."
"As far as I know, Weka is a freeware tool, and I am not aware if they have an online solution or if it is a commercial product."
"Currently, I am using an open-source version so I don't know much about the price of this solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
12%
Educational Organization
8%
University
7%
University
19%
Educational Organization
15%
Computer Software Company
11%
Financial Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about SAS Analytics?
I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app.
What needs improvement with SAS Analytics?
SAS Analytics could improve in areas such as handling stress tests and workloads, as well as predicting financial movements, specifically profit and loss movements.
What is your primary use case for SAS Analytics?
I use SAS Analytics ( /products/sas-analytics-reviews ) in my work to analyze data, such as selecting credits for traditional securitization. Recently, I used SAS Analytics ( /products/sas-analytic...
What is your experience regarding pricing and costs for Weka?
Weka is free and open-source software. That is why I used it over KNIME.
What needs improvement with Weka?
I haven't found it particularly useful. It lacks state-of-the-art algorithms and impressive outcomes. While it might offer insights for basic warehouse tasks, it falls short of deeper understanding...
 

Comparisons

 

Overview

 

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 SAS Analytics vs. Weka and other solutions. Updated: April 2025.
848,716 professionals have used our research since 2012.