The solution is easier to use than Python because it links script to icons without having to write it down. Python is more effective at minimizing our efforts during the native rendering process. 

I currently use the solution's desktop version but plan to introduce the on-premises version soon. 

I have experience with Python. Compared to Python, KNIME is better because of the user-friendliness it provides. With KNIME, you don't have to get involved with codes. KNIME provides nodes, making it a very easy tool to use.

I had taken some online courses and read about KNIME, and I wanted to try out a drag-and-drop software. I was interested in evaluating KNIME, and this is why I am using it.

We selected KNIME rather than Alteryx because of the price comparison.

We are working with KNIME on some small projects, but we are also looking for an alternative solution to explore.

For this review, I would include Alteryx and Lavastorm (the latter is no longer available).

We did evaluate other solutions. We decided to use KNIME because it is open source and was easier to start with.

I did look at Tableau and was considering it to some extent. I felt Knime was more user-friendly and more versatile to automate tasks (most of them excel based).

I ran through a couple different options. None of them matched up to what KNIME could do.

I check with Alteryx and RapidMiner

The Open Source licensing and community support is one of our important criteria. The second one is the interoperability with other technologies and openness to different data sources. There are two options: RapidMiner and KNIME. We chose KNIME.

No, KNIME is my first choice because it's open-source and has features to combine with other scripts.

Alteryx.

No.

Yes, but long ago. I evaluated Oracle Data Mining, Clementine, and SAS Enterprise Miner.

The only other option I have is Alteryx and the functions in KNIME are better.