Hemant AddalSenior Vice President at a financial services firm
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"This open-source product can compete with category leaders in ELT software."
"The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes."
"This solution is easy to use and especially good at data preparation and wrapping."
"It's a coding-less opportunity to use AI. This is the major value for me."
"This solution is easy to use and it can be used to create any kind of model."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"It is very fast to develop solutions."
"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 ability to handle large amounts of data and performance in processing need to be improved."
"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."
"It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end."
"There should be better documentation and the steps should be easier."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"The predefined workflows could use a bit of improvement."
"The documentation is lacking and it could be better."
"There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."
"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 free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website."
"The price of KNIME is quite reasonable and the designer tool can be used free of charge."
"It's an open-source solution."
"The price for Knime is okay."
"At this time, I am using the free version of Knime."
"This is an open-source solution that is free to use."
"There is a Community Edition and paid versions available."
"We have a single user license. Support and add-ons are an extra fee."
Earn 20 points
KNIME is ranked 3rd in Data Science Platforms with 14 reviews while MathWorks Matlab is ranked 15th in Data Science Platforms with 1 review. KNIME is rated 8.4, while MathWorks Matlab is rated 8.0. The top reviewer of KNIME writes "Has good machine learning and big data connectivity but the scheduler needs improvement ". On the other hand, the top reviewer of MathWorks Matlab writes "Test run my algorithms with ease before I develop the full software application". KNIME is most compared with Alteryx, RapidMiner, Databricks, Weka and Dataiku Data Science Studio, whereas MathWorks Matlab is most compared with IBM SPSS Statistics, Microsoft Azure Machine Learning Studio, Anaconda, SAS Visual Analytics and IBM SPSS Modeler.
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