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."Clear view of the data at every step of ETL process enables changing the flow as needed."
"The most useful features are the readily available extensions that speed up the work."
"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."
"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."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"Stability is excellent. I would give it a nine out of ten."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."
"The technical support services are good."
"I use Visual Analytics for enterprise reporting."
"The product is stable, reliable, and scalable."
"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."
"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."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"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'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 should look at other vendors like Alteryx that are more user friendly and modern."
"KNIME's documentation is not strong."
"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."
"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."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something."
"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."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"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."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"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."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"The product is expensive and needs the integration of more languages."
"The solution should improve its graphics."
"The licensing ends up being more expensive than other options."
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.