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."
"There are a lot of connectors available in KNIME."
"The solution is good for teaching, since there is no need to code."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"I was able to apply basic algorithms through just dragging and dropping."
"Clear view of the data at every step of ETL process enables changing the flow as needed."
"I would rate the stability of KNIME a ten out of ten."
"It's a coding-less opportunity to use AI. This is the major value for me."
"It's a very powerful and simple tool to use."
"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."
"Good data management and analytics."
"The solution is able to handle quite large amounts of data beautifully."
"The technical support is very good."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"I like the way the product visually shows the data pipeline."
"The solution is very good for data mining or any mining issues."
"he solution is scalable."
"The predictive analysis feature needs improvement."
"KNIME is not good at visualization."
"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."
"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."
"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."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
"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."
"Technical support could be improved."
"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."
"The product must provide better integration with cloud-native technologies."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"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 user interface of the solution needs improvement. It needs to be more visual."
Earn 20 points
