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."Overall KNIME serves its purpose and does a good job."
"Stability is excellent. I would give it a nine out of ten."
"The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine."
"Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time."
"I know I don't use it to its full capacity, but I love the Rule Engine feature. It has allowed me to create lookup tables on the fly and break down text fields into quantifiable data."
"We have found KNIME valuable when it comes to its visualization."
"What I like most about KNIME is that it's user-friendly. It's a low-code, no-code tool, so students don't need coding knowledge. You can make use of different kinds of nodes. KNIME even has a good description of each node."
"I was able to apply basic algorithms through just dragging and dropping."
"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."
"Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment."
"When needed, we will work closely with Oracle support and implement their workaround in our application."
"Ability to pull together multiple sources of information."
"The predefined workflows could use a bit of improvement."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"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."
"The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily."
"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."
"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."
"Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself."
"One thing to consider is that the prebuilt nodes may not always be a perfect fit for your specific needs, although most of the time, they work quite well."
"Could use some refinement getting things that are not standard cloud applications, but more customized."
"One area for product improvement is the user experience, particularly when navigating through screens."
"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 6th in Data Mining with 9 reviews. KNIME is rated 8.2, while Oracle Advanced Analytics is rated 8.2. 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 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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