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."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."
"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."
"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."
"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."
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.
See our list of best Data Mining vendors.
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.
