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."I would rate the stability of KNIME a ten out of ten."
"Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server."
"One of the greatest advantages of KNIME is that it can be used by those without any coding experience. those with no coding background can use it."
"It's a coding-less opportunity to use AI. This is the major value for me."
"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."
"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."
"Overall KNIME serves its purpose and does a good job."
"The product is open-source and therefore free to use."
"It has also been around for an extremely long time, has a strong history, and good market penetration."
"It has improved the level of efficacy and validity of our reports."
"It's very easy to use once you learn it."
"The team immediately resolves the issues."
"I use SAS daily to analyze data, produce reports, and other outputs."
"It has facilitated timely analysis results with quality work and meaningful output."
"SAS Business Intelligence is well-suited for our large corporation. We have demand for scalable and reliable insights into information which is housed in our large systems."
"The technical support is okay."
"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."
"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."
"The documentation needs a proper rework. "
"KNIME could improve when it comes to large data markets."
"KNIME's documentation is not strong."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"I've had some problems integrating KNIME with other solutions."
"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"Support at universities used to be limited, but I hear this is changing."
"The installation could also be easier, and the price could be better."
"This solution should be made more user-friendly."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"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."
"The natural language querying and automated preparation of dashboards should be improved."
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.
