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."It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured."
"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 feature is the data wrangling, which is what I mainly use it for."
"The solution allows for sharing model designs and model operations with other data analysts."
"We can deploy the solution in a cluster as well."
"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."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"Easy to use, stable, and powerful."
"The most valuable feature is the decision tree creation."
"The solution is very good for data mining or any mining issues."
"I like the way the product visually shows the data pipeline."
"The technical support is very good."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"The solution is able to handle quite large amounts of data beautifully."
"he solution is scalable."
"KNIME is not scalable."
"KNIME's documentation is not strong."
"The ability to handle large amounts of data and performance in processing need to be improved."
"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."
"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."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"It's very general in terms of architecture, and as a result, it doesn't support efficient running. That is, the speed needs to be improved."
"The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best."
"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."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"Technical support could be improved."
"The initial setup is challenging if doing it for the first time."
"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 is much more complex than other options."
"Virtualization could be much better."
KNIME is ranked 1st in Data Mining with 50 reviews while SAS Enterprise Miner is ranked 6th 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 Data Science Studio 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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