KNIME Other Advice

reviewer461148
Partner, Turkey and The Netherlands at a tech vendor with 201-500 employees
Data Science requires freedom for creativity. Sometimes you need to crawl data from the web or social media. Sometimes you need to blend different sources like NoSQL MongoDB and Excel files, etc. It is not only algorithms and data extraction, visualization and preparation steps are important as at least algorithms. Don't go with software that has complex and hidden licensing costs, which will kill your flexibilty and creativity. Also, interoperability brings the advantage of limitlessness. View full review »
Agus Kurdiyanto
Solution Integrator at a comms service provider with 11-50 employees
If you like data analysis, KNIME is the best option. It's free and easy to set up. View full review »
Dusty Evely
Business Analyst at a tech services company with 201-500 employees
Do training up front to make building workflows clean and easy from the start. View full review »
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: August 2019.
366,918 professionals have used our research since 2012.
Giovanni Marano
Senior Data Scientist
I’ve been using KNIME for more than four years now. I started using it in the company I was working for in Rome (Paddy Power Italy), then I moved to headquarters in Dublin (Paddy Power Ireland/UK) and started using it for their business. Eventually, I moved to the United States and started using it for my current company (TVG-Betfair) and it is currently the main analytics tool in both our offices (New Jersey and Los Angeles). I would definitely rate it a nine out of 10. I am very happy with the product and it would be hard to find something better in the market. View full review »
Wim Michielsen
Data Science Consultant
I used it quite intensively for 10 months, long enough get familiar with it, to follow training, to use it in in several projects, to ask questions on the user forum. View full review »
Hilton Rossenrode
Business Analyst at a retailer with 501-1,000 employees
I rate it a seven out of 10. It's very useful but needs polish and improved UX and UI in several areas. For quick adoption, either get KNIME to provide training, or have a local knowledge expert on hand who is well versed with data workflow tools, and databases if necessary. View full review »
Ling Li
Intern at a energy/utilities company with 10,001+ employees
I would rate it at nine out of 10. It's good, it makes thing easier. View full review »
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: August 2019.
366,918 professionals have used our research since 2012.
Sign Up with Email