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."Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."
"Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server."
"Stability is excellent. I would give it a nine out of ten."
"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."
"It has allowed us to easily implement advanced analytics into various processes."
"The solution allows for sharing model designs and model operations with other data analysts."
"This open-source product can compete with category leaders in ELT software."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"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."
"To enhance accessibility and user-friendliness, there is a need for improvements in the interface and usability of deep learning and large-scale learning languages."
"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."
"If they had a more structured training model it would be very helpful."
"KNIME's documentation is not strong."
"The ability to handle large amounts of data and performance in processing need to be improved."
"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"The predefined workflows could use a bit of improvement."
"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."
Earn 20 points
KNIME is ranked 4th in Data Science Platforms with 50 reviews while MathWorks Matlab is ranked 22nd 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, Weka and Dataiku Data Science Studio, 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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We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
