KNIME Review

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

Valuable Features

  • 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

Improvements to My Organization

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

Room for Improvement

The diversity of native algorithms could be improved.

Use of Solution

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

Deployment Issues

No issues with deployment.

Stability Issues

No issues with stability.

Scalability Issues

No issues with scalability.

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.

Previous Solutions

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.

Initial Setup

The setup is straightforward, just download and start using.

Implementation Team

I implemented in-house and for other companies.


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

Other Solutions Considered

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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