We performed a comparison between KNIME and MathWorks Matlab based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."We have been able to appreciate the considerable reduction in prototyping time."
"Easy to use, stable, and powerful."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"KNIME is quite scalable, which is one of the most important features that we found."
"It's a coding-less opportunity to use AI. This is the major value for me."
"We have found KNIME valuable when it comes to its visualization."
"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."
"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."
"It's pretty straightforward to understand. So, if you understand what the pipeline is, you can use the drag-and-drop functionality without much training. Doing the same thing in Python requires so much more training. That's why I use KNIME."
"Though I can use KNIME in a 64-bit platform in the lab, it's missing some features. For example, from my laptop, I can use the image reader feature of KNIME. However, in the lab, the image reader node is missing."
"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 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."
"I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something."
"The license is quite expensive for us."
"I would prefer to have more connectivity."
"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."
"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 15th 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 and Weka, whereas MathWorks Matlab is most compared with Databricks, IBM SPSS Statistics, TIBCO Data Science, Anaconda and Microsoft Azure Machine Learning Studio. See our KNIME vs. MathWorks Matlab report.
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