We performed a comparison between KNIME and SAP Predictive Analytics based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"It allows for a user-friendly approach where you can simply drag and drop elements to create your model, which is a convenient and effective idea."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"I was able to apply basic algorithms through just dragging and dropping."
"It is a stable solution...It is a scalable solution."
"From a user-friendliness perspective, it's a great tool."
"One of the greatest advantages of KNIME is that it can be used by those without any coding experience. those with no coding background can use it."
"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."
"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
"The most valuable features are the analytics and reporting."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"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 visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."
"KNIME is not good at visualization."
"If they had a more structured training model it would be very helpful."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"It's difficult to provide input on the improvement area because it's more of self-learning. However, there are times when I am not able to do certain things. I don't know if it's because the solution doesn't allow me or if it's because of the lack of knowledge."
"This solution works for acquired data but not live, real-time data."
Earn 20 points
KNIME is ranked 4th in Data Science Platforms with 50 reviews while SAP Predictive Analytics is ranked 24th in Data Science Platforms. KNIME is rated 8.2, while SAP Predictive Analytics is rated 8.6. 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 SAP Predictive Analytics writes "Easy to implement, good data forecasting and reporting". KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku and Weka, whereas SAP Predictive Analytics is most compared with IBM SPSS Modeler, IBM Watson Studio, Domino Data Science Platform, Microsoft Azure Machine Learning Studio and Alteryx. See our KNIME vs. SAP Predictive Analytics report.
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