- 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
CEO with 11-50 employees
The diversity of native algorithms could be improved but it is very easy to use
What is most valuable?
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.
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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 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.
Research Analyst at a university with 51-200 employees
Straightforward to set up and has good data wrangling functionality
Pros and Cons
- "The most valuable feature is the data wrangling, which is what I mainly use it for."
- "From the point of view of the interface, they can do a little bit better."
What is our primary use case?
I primarily use this product for data engineering and data wrangling.
What is most valuable?
The most valuable feature is the data wrangling, which is what I mainly use it for.
What needs improvement?
From the point of view of the interface, they can do a little bit better.
For how long have I used the solution?
I have been using KNIME for three years.
What do I think about the scalability of the solution?
Scalability is not a relevant consideration for KNIME because I am using it myself.
How are customer service and technical support?
I feel that the community is a bit too Java-oriented. It would be better if it grew and became more diversified, from a data engineering perspective.
How was the initial setup?
The initial setup is straightforward.
What's my experience with pricing, setup cost, and licensing?
There are different licenses available.
Which other solutions did I evaluate?
The only other option I have is Alteryx and the functions in KNIME are better.
What other advice do I have?
This is a very handy tool and I use it quite interactively. I am not an expert-level user and it pretty much has everything that I need.
I would rate this solution an eight out of ten.
Which deployment model are you using for this solution?
On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Updated: November 2024
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