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."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."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"Overall KNIME serves its purpose and does a good job."
"There are a lot of connectors available in KNIME."
"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."
"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 solution allows for sharing model designs and model operations with other data analysts."
"I've tried to utilize KNIME to the fullest extent possible to replace Excel."
"I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app."
"All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."
"The technical support is okay."
"It has facilitated timely analysis results with quality work and meaningful output."
"It's very easy to use once you learn it."
"The most valuable feature is the ability to handle large data sets."
"It has improved the level of efficacy and validity of our reports."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"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."
"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."
"Data visualization needs improvement."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"It's pretty straightforward to understand. So, if you understand what the pipeline is, you can use the drag-and-drop functionality without much training. Doing the same thing in Python requires so much more training. That's why I use KNIME."
"The data visualization part is the area most in need of improvement."
"It's difficult to provide input on the improvement area because it's more of self-learning. However, there are times when I am not able to do certain things. I don't know if it's because the solution doesn't allow me or if it's because of the lack of knowledge."
"The documentation is lacking and it could be better."
"This solution should be made more user-friendly."
"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."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"They could enhance the AI capabilities of the product."
"The installation could also be easier, and the price could be better."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
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.
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