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."The solution is good for teaching, since there is no need to code."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"I've never had any problems with stability."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"We can deploy the solution in a cluster as well."
"From a user-friendliness perspective, it's a great tool."
"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."
"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."
"I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app."
"It has improved the level of efficacy and validity of our reports."
"The technical support is okay."
"It is able to connect to all major platforms, and all the smaller platforms that I have come across."
"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."
"Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"The team immediately resolves the issues."
"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."
"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."
"I've had some problems integrating KNIME with other solutions."
"The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily."
"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."
"The pricing needs improvement."
"The data visualization part is the area most in need of improvement."
"KNIME's documentation is not strong."
"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."
"Support at universities used to be limited, but I hear this is changing."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"They could enhance the AI capabilities of the product."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
"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."
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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