We performed a comparison between Oracle Advanced 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."When needed, we will work closely with Oracle support and implement their workaround in our application."
"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
"Ability to pull together multiple sources of information."
"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."
"It is a stable product."
"I like the machine algorithm for clustering systems. Weka has larger capabilities. There are multiple algorithms that can be used for clustering. It depends upon the user requirements. For clustering, I've used DBSCAN, whereas for supervised learning, I've used AVM and RFT."
"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."
"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 way."
"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."
"There are some transactions we have not been able to find through the dashboard."
"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
"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."
"A few people said it became slow after a while."
"Within the basic Weka tool, I don't see many tools that are available where we can analyze and visualize the data that well."
"The filter section lacks some specific transformation tools. If you want to change a variable from a numeric variable to a categorical variable, you don't have a feature that can enable you to change a variable from a numeric variable to a categorical variable."
"In terms of scalability, I think Weka is not prepared to handle a large number of users."
"Weka could be more stable."
"Not particularly user friendly."
Earn 20 points
Oracle Advanced Analytics is ranked 7th in Data Mining while Weka is ranked 2nd in Data Mining with 14 reviews. Oracle Advanced Analytics is rated 8.0, while Weka is rated 7.6. The top reviewer of Oracle Advanced Analytics writes "Helpful technical support, but performance and queries should be addressed". On the other hand, the top reviewer of Weka writes "Open source, good for basic data mining use cases except for the visualization results". Oracle Advanced Analytics is most compared with IBM SPSS Statistics, whereas Weka is most compared with KNIME, IBM SPSS Statistics, IBM SPSS Modeler, SAS Analytics and Splunk User Behavior Analytics.
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