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."Since KNIME is a no-code platform, it is easy to work with."
"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."
"I've tried to utilize KNIME to the fullest extent possible to replace Excel."
"It has allowed us to easily implement advanced analytics into various processes."
"This open-source product can compete with category leaders in ELT software."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"This solution is easy to use and especially good at data preparation and wrapping."
"Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis."
"The technical support services are good."
"Great for handling complex data models."
"It integrates well with SAS, making it simple and quick for developers."
"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."
"Data handling is one of the best features of SAS Visual Analytics."
"It's relatively simple to create basic dashboards and reports."
"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'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."
"KNIME is not scalable."
"The ability to handle large amounts of data and performance in processing need to be improved."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
"The documentation is lacking and it could be better."
"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."
"KNIME is not good at visualization."
"In the last update, KNIME started hiding a lot of the nodes. It doesn't mean hiding, but you need to know what you're looking for. Before that, you had just a tree that you could click, and you could get an overview of what kind of nodes do I have. Right now, it's like you need to know which node you need, and then you can start typing, but it's actually more difficult to find them."
"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."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"SAS Visual Analytics could be more user-friendly."
"The installation process can be a bit complex."
"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."
"It is not as mature as competitors such as Tableau and QlikView."
"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."
"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 35 reviews. KNIME is rated 8.2, while SAS Visual Analytics is rated 8.0. 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 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, Weka and Dataiku Data Science Studio, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio.
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.
