We performed a comparison between IBM SPSS Statistics, KNIME, and SAS Enterprise Miner based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."The most valuable feature is its robust statistical analysis capabilities."
"IBM SPSS Statistics depends on AI."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"Most of the product features are good but I particularly like the linear regression analysis."
"It has the ability to easily change any variable in our research."
"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files."
"The most valuable features are the small learning curve and its ability to hold a lot of data."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"The product is open-source and therefore free to use."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"It's a coding-less opportunity to use AI. This is the major value for me."
"Easy to use, stable, and powerful."
"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."
"Overall KNIME serves its purpose and does a good job."
"I was able to apply basic algorithms through just dragging and dropping."
"he solution is scalable."
"The technical support is very good."
"Good data management and analytics."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The solution is very good for data mining or any mining issues."
"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 solution is able to handle quite large amounts of data beautifully."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."
"The statistics should be more self-explanatory with detailed automated reports."
"There is a learning curve; it's not very steep, but there is one."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"It could allow adding color to data models to make them easier to interpret."
"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."
"From the point of view of the interface, they can do a little bit better."
"The documentation needs a proper rework. "
"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."
"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."
"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"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."
"It's very general in terms of architecture, and as a result, it doesn't support efficient running. That is, the speed needs to be improved."
"I would prefer to have more connectivity."
"The initial setup is challenging if doing it for the first time."
"The product must provide better integration with cloud-native technologies."
"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."
"Virtualization could be much better."
"The visualization of the models is not very attractive, so the graphics should be improved."
"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 solution is much more complex than other options."
"The ease of use can be improved. When you are new it seems a bit complex."