We performed a comparison between KNIME and SAP Predictive Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The most valuable features of KNIME are its ability to convert your sub-workflow into a node. For example, the workflow has many individual native nodes that can be converted into a single node. This representation has simplified my workflow to a great extent. I can present my workflow in a very compact way."
"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've tried to utilize KNIME to the fullest extent possible to replace Excel."
"The solution allows for sharing model designs and model operations with other data analysts."
"It is very fast to develop solutions."
"Since KNIME is a no-code platform, it is easy to work with."
"From a user-friendliness perspective, it's a great tool."
"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."
"The most valuable features are the analytics and reporting."
"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
"They could add more detailed examples of the functionality of every node, how it works and how we can use it, to make things easier at the beginning."
"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."
"I would prefer to have more connectivity."
"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."
"The data visualization part is the area most in need of improvement."
"There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."
"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."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
"This solution works for acquired data but not live, real-time data."
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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, Weka and Dataiku Data Science Studio, whereas SAP Predictive Analytics is most compared with IBM Watson Studio, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Domino Data Science Platform and Alteryx.
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