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."This solution is easy to use and especially good at data preparation and wrapping."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"Clear view of the data at every step of ETL process enables changing the flow as needed."
"We have found KNIME valuable when it comes to its visualization."
"It's a coding-less opportunity to use AI. This is the major value for me."
"It's a huge tool with machine learning features as well."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"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."
"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."
"Simplifies report designs and quickly displays tables and graphs."
"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"We've found the product to be stable and reliable."
"It provided the capability to visualize a bunch of data in an organized way."
"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 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 license is quite expensive for us."
"The pricing needs improvement."
"Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"One thing to consider is that the prebuilt nodes may not always be a perfect fit for your specific needs, although most of the time, they work quite well."
"Data visualization needs improvement."
"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."
"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."
"The licensing ends up being more expensive than other options."
"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."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"SAS Visual Analytics could improve by making it more accessible for users outside the organization."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"The solution should improve its graphics."
"A bit more flexibility in the temperatization will be helpful."
"The product is expensive and needs the integration of more languages."
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.