"It can handle an unlimited amount of data, which is the advantage of using Knime."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
What is our primary use case?
Knime is used for data analytics.
What is most valuable?
It can handle an unlimited amount of data, which is the advantage of using Knime.
It already has algorithms included.
What needs improvement?
I haven't had a lot of time to explore Knime in detail, but when you compare it with Orange, I would like it to be able to find data and collect it from another source. Also, to collect data for Knime from Twitter, Instagram, or Facebook for example, and to add widgets to Knime.
It could input more data acquisitions from other sources and it is difficult to combine with Python. It can be done with special requirements.
For how long have I used the solution?
I have been using Knime for three months.
What do I think about the stability of the solution?
In the three months that I have been using Knime, it has been very stable.
What do I think about the scalability of the solution?
From my understanding, it is scalable. It can handle a large amount of data. It indicates that it can handle unlimited amounts of data.
How was the initial setup?
The initial setup was straightforward. It was very easy.
What's my experience with pricing, setup cost, and licensing?
This is an open-source solution that is free to use.
What other advice do I have?
I would recommend Knime to others who are interested in using it.
Students can use Kmine for their research.
I would rate Knime an eight out of ten.
Disclosure: I am a real user, and this review is based on my own experience and opinions.