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 most useful features are the readily available extensions that speed up the work."
"KNIME is fast and the visualization provides a lot of clarity. It clarifies your thinking because you can see what's going on with your data."
"Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time."
"Clear view of the data at every step of ETL process enables changing the flow as needed."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"The most valuable feature is the data wrangling, which is what I mainly use it for."
"Stability is excellent. I would give it a nine out of ten."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."
"It provided the capability to visualize a bunch of data in an organized way."
"It's relatively simple to create basic dashboards and reports."
"Simplifies report designs and quickly displays tables and graphs."
"The technical support services are good."
"I use Visual Analytics for enterprise reporting."
"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."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best."
"I would prefer to have more connectivity."
"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."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"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."
"When deploying models on a regular system, it works fine. However, when accuracy is a priority, hyperparameter tuning is necessary. Currently, KNIME doesn't have the best tools for this which they could improve in this area."
"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."
"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."
"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."
"The product is expensive and needs the integration of more languages."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"SAS Visual Analytics could improve by making it more accessible for users outside the organization."
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.