KNIME Review

The diversity of native algorithms could be improved but it is very easy to use​

What is most valuable?

  • It has an excellent interface
  • Is very easy to use
  • It really boosts productivity
  • The performance is impressive, even in a normal laptop
  • The diversity of tools for pre-processing is very handy
  • The integration with R and Weka, make it the perfect Data Mining solution

How has it helped my organization?

We have use it in industry projects, for internal experiments, and for teaching.

What needs improvement?

The diversity of native algorithms could be improved.

For how long have I used the solution?

I have been using this solution for the past three years and it is an excellent solution.

What was my experience with deployment of the solution?

No issues with deployment.

What do I think about the stability of the solution?

No issues with stability.

What do I think about the scalability of the solution?

No issues with scalability.

How are customer service and technical support?

Customer Service:

Once I had to contact the customer service, and it worked quite well.

Technical Support:

Knime has a considerable support community, so there are few problems that you can not find in the documents of the community.

Which solution did I use previously and why did I switch?

I used the old Clementine solution (now in the IBM portfolio). I also keep using Weka, but now I tend to use Knime more, which ends up being more versatile, since it can integrate R and Weka.

How was the initial setup?

The setup is straightforward, just download and start using.

What about the implementation team?

I implemented in-house and for other companies.

What was our ROI?

Very high, since it has low costs and it is very easy to use.

Which other solutions did I evaluate?

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

**Disclosure: I am a real user, and this review is based on my own experience and opinions.
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