We performed a comparison between KNIME and SAS Analytics based on real PeerSpot user reviews.
Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It has allowed us to easily implement advanced analytics into various processes."
"I was able to apply basic algorithms through just dragging and dropping."
"It's a huge tool with machine learning features as well."
"This solution is easy to use and it can be used to create any kind of model."
"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."
"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."
"The product is open-source and therefore free to use."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"It is able to connect to all major platforms, and all the smaller platforms that I have come across."
"It's very easy to use once you learn it."
"SAS Business Intelligence is well-suited for our large corporation. We have demand for scalable and reliable insights into information which is housed in our large systems."
"The technical support is okay."
"Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features."
"SAS Analytics plays a vital role in enhancing our decision-making processes, particularly in areas such as customer segmentation and operational efficiency."
"It has facilitated timely analysis results with quality work and meaningful output."
"I use SAS daily to analyze data, produce reports, and other outputs."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"In my environment, I need to access a lot of servers with different characteristics and access methods. Some of my servers have to be accessed using proxy which is not supported by KNIME, so I still need to create the middleware to supply the source of my KNIME configurations."
"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."
"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"One area that could be improved is increasing awareness and adoption of KNIME among organizations. Despite its capabilities, it is not as well-known as other tools. The advertising and marketing efforts to reach out to companies and universities have not been very successful."
"KNIME's documentation is not strong."
"The dynamic column name feature could be improved. When attempting to automate processes involving columns, such as with companies, it becomes difficult to achieve the same result when we make changes."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"The installation could also be easier, and the price could be better."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"Support at universities used to be limited, but I hear this is changing."
"Once a SAS figure is produced one would like to modify things, such as titles, legends, and incorporate risk sets as a footer on the plots."
"The natural language querying and automated preparation of dashboards should be improved."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"There is potential for enhancement, particularly in the virtualized dashboard's capability to generate reports."
"They could enhance the AI capabilities of the product."
KNIME is ranked 1st in Data Mining with 50 reviews while SAS Analytics is ranked 5th in Data Mining with 11 reviews. KNIME is rated 8.2, while SAS Analytics is rated 9.0. 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 Analytics writes "Provides comprehensive data analysis tools and functionalities, but its higher pricing and potential stability issues may present drawbacks". KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku and Tableau, whereas SAS Analytics is most compared with IBM SPSS Statistics, Weka, SAS Enterprise Miner and IBM SPSS Modeler. See our KNIME vs. SAS Analytics report.
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