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."We can deploy the solution in a cluster as well."
"We have found KNIME valuable when it comes to its visualization."
"It's a huge tool with machine learning features as well."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"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."
"KNIME is easy to learn."
"I would rate the stability of KNIME a ten out of ten."
"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."
"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."
"Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools."
"What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes."
"It integrates well with SAS, making it simple and quick for developers."
"I use Visual Analytics for enterprise reporting."
"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."
"It provided the capability to visualize a bunch of data in an organized way."
"The product is stable, reliable, and scalable."
"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 most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"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 license is quite expensive for us."
"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 is not good at visualization."
"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."
"If they had a more structured training model it would be very helpful."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"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."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
"SAS Visual Analytics could improve by making it more accessible for users outside the organization."
"The product is expensive and needs the integration of more languages."
"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."
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.