We performed a comparison between SAS Analytics and Weka based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."It is able to connect to all major platforms, and all the smaller platforms that I have come across."
"All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."
"I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app."
"It has also been around for an extremely long time, has a strong history, and good market penetration."
"The most valuable feature is the ability to handle large data sets."
"It's very easy to use once you learn it."
"SAS Analytics plays a vital role in enhancing our decision-making processes, particularly in areas such as customer segmentation and operational efficiency."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"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."
"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."
"It doesn’t cost anything to use the product."
"The interface is very good, and the algorithms are the very best."
"I mainly use this solution for the regression tree, and for its association rules. I run these two methodologies for Weka."
"In Weka, anyone can access the program without being a programmer, which is a good feature since the entry cost is very low."
"Working with complicated algorithms in huge datasets is really easy in Weka."
"Weka's best features are its user-friendly graphic interface interpretation of data sets and the ease of analyzing data."
"There is potential for enhancement, particularly in the virtualized dashboard's capability to generate reports."
"The natural language querying and automated preparation of dashboards should be improved."
"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."
"They could enhance the AI capabilities of the product."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"Support at universities used to be limited, but I hear this is changing."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
"This solution should be made more user-friendly."
"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."
"If there are a lot more lines of code, then we should use another language."
"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."
"Not particularly user friendly."
"In terms of scalability, I think Weka is not prepared to handle a large number of users."
"Weka could be more stable."
"Weka is a little complicated and not necessarily suited for users who aren't skilled and experienced in data science."
"While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results."
SAS Analytics is ranked 5th in Data Mining with 11 reviews while Weka is ranked 2nd in Data Mining with 14 reviews. SAS Analytics is rated 9.0, while Weka is rated 7.6. The top reviewer of SAS Analytics writes "Provides comprehensive data analysis tools and functionalities, but its higher pricing and potential stability issues may present drawbacks". On the other hand, the top reviewer of Weka writes "Open source, good for basic data mining use cases except for the visualization results". SAS Analytics is most compared with KNIME, IBM SPSS Statistics, SAS Enterprise Miner and IBM SPSS Modeler, whereas Weka is most compared with KNIME, IBM SPSS Statistics, IBM SPSS Modeler, Oracle Advanced Analytics and Splunk User Behavior Analytics.
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