We performed a comparison between KNIME and SAS Visual Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."The solution allows for sharing model designs and model operations with other data analysts."
"It's a coding-less opportunity to use AI. This is the major value for me."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine."
"We can deploy the solution in a cluster as well."
"The most useful features are the readily available extensions that speed up the work."
"We have found KNIME valuable when it comes to its visualization."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"Data handling is one of the best features of SAS Visual Analytics."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"I use Visual Analytics for enterprise reporting."
"The technical support services are good."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"The flexibility of the configuration is valuable to me."
"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."
"I would prefer to have more connectivity."
"To enhance accessibility and user-friendliness, there is a need for improvements in the interface and usability of deep learning and large-scale learning languages."
"One area that could be improved is increasing awareness and adoption of KNIME among organizations. Despite its capabilities, it is not as well-known as other tools. The advertising and marketing efforts to reach out to companies and universities have not been very successful."
"The documentation is lacking and it could be better."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"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."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
"The solution should improve its graphics."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"The installation process can be a bit complex."
"The product is expensive and needs the integration of more languages."
"It is not as mature as competitors such as Tableau and QlikView."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"I haven't come across any missing features."
KNIME is ranked 1st in Data Mining with 50 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 36 reviews. KNIME is rated 8.2, while SAS Visual Analytics is rated 8.2. 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 Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku and Weka, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku.
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.