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."Since KNIME is a no-code platform, it is easy to work with."
"The solution is good for teaching, since there is no need to code."
"It's a very powerful and simple tool to use."
"It is a stable solution...It is a scalable solution."
"Clear view of the data at every step of ETL process enables changing the flow as needed."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"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 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."
"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."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"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."
"From the point of view of the interface, they can do a little bit better."
"In my environment, I need to access a lot of servers with different characteristics and access methods. Some of my servers have to be accessed using proxy which is not supported by KNIME, so I still need to create the middleware to supply the source of my KNIME configurations."
"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."
"KNIME is not good at visualization."
"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."
"The documentation is lacking and it could be better."
"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 Data Science Studio and Weka, 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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