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."Overall KNIME serves its purpose and does a good job."
"We have found KNIME valuable when it comes to its visualization."
"From a user-friendliness perspective, it's a great tool."
"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."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"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."
"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."
"I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app."
"It has also been around for an extremely long time, has a strong history, and good market penetration."
"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."
"It's very easy to use once you learn it."
"The most valuable feature is the ability to handle large data sets."
"All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"The solution is inconvenient when it comes to wrangling data that includes multiple steps or features because each step or feature requires its own icon."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"If they had a more structured training model it would be very helpful."
"KNIME could improve when it comes to large data markets."
"The natural language querying and automated preparation of dashboards should be improved."
"The installation could also be easier, and the price could be better."
"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."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"Support at universities used to be limited, but I hear this is changing."
"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."
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.
See our list of best Data Mining vendors.
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.