We performed a comparison between Domino Data Science Platform, KNIME, and SAS Enterprise Miner based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The scalability of the solution is good; I'd rate it four out of five."
"The most useful features are the readily available extensions that speed up the work."
"It's a huge tool with machine learning features as well."
"Overall KNIME serves its purpose and does a good job."
"I know I don't use it to its full capacity, but I love the Rule Engine feature. It has allowed me to create lookup tables on the fly and break down text fields into quantifiable data."
"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."
"It is a stable solution...It is a scalable solution."
"It's a very powerful and simple tool to use."
"The most valuable features of KNIME are its ability to convert your sub-workflow into a node. For example, the workflow has many individual native nodes that can be converted into a single node. This representation has simplified my workflow to a great extent. I can present my workflow in a very compact way."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"I like the way the product visually shows the data pipeline."
"The solution is able to handle quite large amounts of data beautifully."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"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 very good for data mining or any mining issues."
"The technical support is very good."
"Good data management and analytics."
"The predictive analysis feature needs improvement."
"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."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"There should be better documentation and the steps should be easier."
"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."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best."
"KNIME is not good at visualization."
"The ease of use can be improved. When you are new it seems a bit complex."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"The solution is much more complex than other options."
"Virtualization could be much better."
"The initial setup is challenging if doing it for the first time."
"Technical support could be improved."
"The user interface of the solution needs improvement. It needs to be more visual."
"The visualization of the models is not very attractive, so the graphics should be improved."
Earn 20 points
