We performed a comparison between KNIME and MathWorks Matlab based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."This solution is easy to use and especially good at data preparation and wrapping."
"KNIME is easy to learn."
"The most useful features are the readily available extensions that speed up the work."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."
"I would rate the stability of KNIME a ten out of ten."
"We have found KNIME valuable when it comes to its visualization."
"The tool's most valuable feature is the Simulink environment. This feature provides an incredible capability to visually represent the system behavior before creating the code. It allows you to see the flow and interactions of the system, which is extremely beneficial for software development. With this visual representation, you can better understand the system's behavior, make necessary adjustments, and ensure maintenance and updates. This capability is why I love working with the product."
"Personally for me, because I do a lot of development, I like that it is easy to test mathematical algorithms with several matrix calculations. It's perfect for that."
"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."
"KNIME is not good at visualization."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"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 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."
"The ability to handle large amounts of data and performance in processing need to be improved."
"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."
"In the area of improvement, sometimes there are issues with the speed of MathWorks Matlab, particularly in the Simulink environment. The tool's latest versions can be slow to open, taking significant time to load. Additionally, saving data and integrating models can also be time-consuming processes."
"To make use of the GPU, you have to have an Nvidia card. What I would want it to do is to run in Next Generation with Intel or AMD, and not just with Nvidia."
KNIME is ranked 4th in Data Science Platforms with 50 reviews while MathWorks Matlab is ranked 14th in Data Science Platforms with 2 reviews. KNIME is rated 8.2, while MathWorks Matlab is rated 8.6. 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 MathWorks Matlab writes "Has Simulink feature which helps with visual representations ". KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku Data Science Studio and Weka, whereas MathWorks Matlab is most compared with IBM SPSS Statistics, Databricks, Anaconda, Microsoft Azure Machine Learning Studio and TIBCO Data Science.
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