We performed a comparison between KNIME, SAS Enterprise Miner, 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."It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured."
"What I like most about KNIME is that it's user-friendly. It's a low-code, no-code tool, so students don't need coding knowledge. You can make use of different kinds of nodes. KNIME even has a good description of each node."
"This solution is easy to use and especially good at data preparation and wrapping."
"KNIME is easy to learn."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"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."
"he solution is scalable."
"The solution is very good for data mining or any mining issues."
"The solution is able to handle quite large amounts of data beautifully."
"The most valuable feature is the decision tree creation."
"Good data management and analytics."
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
"I like the way the product visually shows the data pipeline."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"The flexibility of the configuration is valuable to me."
"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."
"I use Visual Analytics for enterprise reporting."
"Data handling is one of the best features of SAS Visual Analytics."
"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."
"Simplifies report designs and quickly displays tables and graphs."
"It provided the capability to visualize a bunch of data in an organized way."
"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."
"The predefined workflows could use a bit of improvement."
"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."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"Compared to the other data tools on the market, the user interface can be improved."
"There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."
"KNIME's documentation is not strong."
"The ability to handle large amounts of data and performance in processing need to be improved."
"Virtualization could be much better."
"The ease of use can be improved. When you are new it seems a bit complex."
"The user interface of the solution needs improvement. It needs to be more visual."
"The solution is much more complex than other options."
"The visualization of the models is not very attractive, so the graphics should be improved."
"The initial setup is challenging if doing it for the first time."
"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."
"The product must provide better integration with cloud-native technologies."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"The solution is a little weak at the front end."
"SAS Visual Analytics could be more user-friendly."
"Colours used on report objects"
"The product is expensive and needs the integration of more languages."
"I haven't come across any missing features."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"It is not as mature as competitors such as Tableau and QlikView."