We performed a comparison between KNIME and SAS 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."The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes."
"This solution is easy to use and it can be used to create any kind of model."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"Overall KNIME serves its purpose and does a good job."
"From a user-friendliness perspective, it's a great tool."
"We can deploy the solution in a cluster as well."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"It's very easy to use once you learn it."
"The team immediately resolves the issues."
"They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy."
"I use SAS daily to analyze data, produce reports, and other outputs."
"All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."
"It is able to connect to all major platforms, and all the smaller platforms that I have come across."
"SAS Analytics plays a vital role in enhancing our decision-making processes, particularly in areas such as customer segmentation and operational efficiency."
"From the point of view of the interface, they can do a little bit better."
"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."
"It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"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."
"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"If they had a more structured training model it would be very helpful."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"The natural language querying and automated preparation of dashboards should be improved."
"Support at universities used to be limited, but I hear this is changing."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
"There is potential for enhancement, particularly in the virtualized dashboard's capability to generate reports."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"They could enhance the AI capabilities of the product."
KNIME is ranked 1st in Data Mining with 50 reviews while SAS Analytics is ranked 5th in Data Mining with 11 reviews. KNIME is rated 8.2, while SAS Analytics is rated 9.0. 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 SAS Analytics writes "Provides comprehensive data analysis tools and functionalities, but its higher pricing and potential stability issues may present drawbacks". KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku and Tableau, whereas SAS Analytics is most compared with IBM SPSS Statistics, Weka, SAS Enterprise Miner and IBM SPSS Modeler. See our KNIME vs. SAS Analytics report.
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