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."I would rate the stability of KNIME a ten out of ten."
"I've never had any problems with stability."
"This solution is easy to use and it can be used to create any kind of model."
"We leverage KNIME flexibility in order to query data from our database and manipulate them for any ad-hoc business case, before presenting results to stakeholders."
"The most useful features are the readily available extensions that speed up the work."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"Easy to use, stable, and powerful."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"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."
"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."
"In the last update, KNIME started hiding a lot of the nodes. It doesn't mean hiding, but you need to know what you're looking for. Before that, you had just a tree that you could click, and you could get an overview of what kind of nodes do I have. Right now, it's like you need to know which node you need, and then you can start typing, but it's actually more difficult to find them."
"When deploying models on a regular system, it works fine. However, when accuracy is a priority, hyperparameter tuning is necessary. Currently, KNIME doesn't have the best tools for this which they could improve in this area."
"If they had a more structured training model it would be very helpful."
"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."
"I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something."
"The predefined workflows could use a bit of improvement."
"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."
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 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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