We performed a comparison between KNIME and SAS Enterprise Miner 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 product is open-source and therefore free to use."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"From a user-friendliness perspective, it's a great tool."
"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."
"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."
"The most valuable feature is the data wrangling, which is what I mainly use it for."
"I've tried to utilize KNIME to the fullest extent possible to replace Excel."
"I've never had any problems with stability."
"The solution is able to handle quite large amounts of data beautifully."
"he solution is scalable."
"I like the way the product visually shows the data pipeline."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
"The solution is very good for data mining or any mining issues."
"The technical support is very good."
"KNIME can improve by adding more automation tools in the query, similar to UiPath or Blue Prism. It would make the data collection and cleanup duties more versatile."
"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."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
"There should be better documentation and the steps should be easier."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"Though I can use KNIME in a 64-bit platform in the lab, it's missing some features. For example, from my laptop, I can use the image reader feature of KNIME. However, in the lab, the image reader node is missing."
"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."
"The visualization of the models is not very attractive, so the graphics should be improved."
"The product must provide better integration with cloud-native technologies."
"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."
"Technical support could be improved."
"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"Virtualization could be much better."
"The user interface of the solution needs improvement. It needs to be more visual."
KNIME is ranked 1st in Data Mining with 50 reviews while SAS Enterprise Miner is ranked 7th in Data Mining with 13 reviews. KNIME is rated 8.2, while SAS Enterprise Miner is rated 7.6. 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 SAS Enterprise Miner writes "A stable product that is easy to deploy and can be used for structured and unstructured data mining". KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku and Weka, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, RapidMiner, Microsoft Azure Machine Learning Studio and SAS Analytics. See our KNIME vs. SAS Enterprise Miner report.
See our list of best Data Mining vendors and best Data Science Platforms vendors.
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