KNIME Pros and Cons

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.

The product is open-source and therefore free to use.

From a user-friendliness perspective, it's a great tool.

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.

This solution is easy to use and it can be used to create any kind of model.

This solution is easy to use and especially good at data preparation and wrapping.

It is very fast to develop solutions.

It's a coding-less opportunity to use AI. This is the major value for me.

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.

They should look at other vendors like Alteryx that are more user friendly and modern.

If they had a more structured training model it would be very helpful.

The predefined workflows could use a bit of improvement.

The documentation is lacking and it could be better.

KNIME needs to provide more documentation and training materials, including webinars or online seminars.

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 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.

There should be better documentation and the steps should be easier.