We performed a comparison between KNIME and Oracle Advanced Analytics 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."We have been able to appreciate the considerable reduction in prototyping time."
"KNIME is quite scalable, which is one of the most important features that we found."
"The most valuable feature is the data wrangling, which is what I mainly use it for."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"Overall KNIME serves its purpose and does a good job."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"The solution is good for teaching, since there is no need to code."
"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."
"Ability to pull together multiple sources of information."
"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."
"It's pretty straightforward to understand. So, if you understand what the pipeline is, you can use the drag-and-drop functionality without much training. Doing the same thing in Python requires so much more training. That's why I use KNIME."
"There are some parameters that I would like to have at a bigger scale. The upper limit of one node that tries to find spots or areas in photos was too small for us. It would need to be bigger."
"Though I can use KNIME in a 64-bit platform in the lab, it's missing some features. For example, from my laptop, I can use the image reader feature of KNIME. However, in the lab, the image reader node is missing."
"The ability to handle large amounts of data and performance in processing need to be improved."
"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."
"KNIME can improve by adding more automation tools in the query, similar to UiPath or Blue Prism. It would make the data collection and cleanup duties more versatile."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"Data visualization needs improvement."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
"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."
Earn 20 points
KNIME is ranked 1st in Data Mining with 50 reviews while Oracle Advanced Analytics is ranked 7th in Data Mining. KNIME is rated 8.2, while Oracle Advanced Analytics is rated 8.0. The top reviewer of KNIME writes "A low-code platform that reduces data mining time by linking script". On the other hand, the top reviewer of Oracle Advanced Analytics writes "Helpful technical support, but performance and queries should be addressed". KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku Data Science Studio and Weka, whereas Oracle Advanced Analytics is most compared with IBM SPSS Statistics and Weka. See our KNIME vs. Oracle Advanced Analytics report.
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