We performed a comparison between KNIME and SAS Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."It's a huge tool with machine learning features as well."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"I was able to apply basic algorithms through just dragging and dropping."
"It has allowed us to easily implement advanced analytics into various processes."
"KNIME is fast and the visualization provides a lot of clarity. It clarifies your thinking because you can see what's going on with your data."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."
"What I like most about KNIME is that it's user-friendly. It's a low-code, no-code tool, so students don't need coding knowledge. You can make use of different kinds of nodes. KNIME even has a good description of each node."
"All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."
"They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy."
"It has improved the level of efficacy and validity of our reports."
"The technical support is okay."
"SAS Analytics plays a vital role in enhancing our decision-making processes, particularly in areas such as customer segmentation and operational efficiency."
"The team immediately resolves the issues."
"The most valuable feature is the ability to handle large data sets."
"I use SAS daily to analyze data, produce reports, and other outputs."
"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."
"There are some parameters that I would like to have at a bigger scale. The upper limit of one node that tries to find spots or areas in photos was too small for us. It would need to be bigger."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"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."
"KNIME could improve when it comes to large data markets."
"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"There should be better documentation and the steps should be easier."
"When deploying models on a regular system, it works fine. However, when accuracy is a priority, hyperparameter tuning is necessary. Currently, KNIME doesn't have the best tools for this which they could improve in this area."
"There is potential for enhancement, particularly in the virtualized dashboard's capability to generate reports."
"They could enhance the AI capabilities of the product."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"Once a SAS figure is produced one would like to modify things, such as titles, legends, and incorporate risk sets as a footer on the plots."
"Support at universities used to be limited, but I hear this is changing."
"The natural language querying and automated preparation of dashboards should be improved."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
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, Weka and Amazon SageMaker, whereas SAS Analytics is most compared with IBM SPSS Statistics, Weka, SAS Enterprise Miner and IBM SPSS Modeler.
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We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
