KNIME Pros and Cons

KNIME Pros

Agus Kurdiyanto
Solution Integrator at a comms service provider with 11-50 employees
The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database.
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Dusty Evely
Business Analyst at a tech services company with 201-500 employees
I know I don't use it to its full capacity, but I love the Rule Engine feature. It has allowed me to create lookup tables on the fly and break down text fields into quantifiable data.
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Giovanni Marano
Senior Data Scientist
Clear view of the data at every step of ETL process enables changing the flow as needed.
We leverage KNIME flexibility in order to query data from our database and manipulate them for any ad-hoc business case, before presenting results to stakeholders.
The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine.
Easy to connect with every database: We use queries from SQL, Redshift, Oracle.
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Wim Michielsen
Data Science Consultant
Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis.
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Hilton Rossenrode
Business Analyst at a retailer with 501-1,000 employees
We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics.
Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server.
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Ling Li
Intern at a energy/utilities company with 10,001+ employees
It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop.
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Evans Otalor
Business Intelligence Manager at Telecoms
It has allowed us to easily implement advanced analytics into various processes.
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Prithviraj Dutta
Data Scientist at a tech services company with 1,001-5,000 employees
We have been able to appreciate the considerable reduction in prototyping time.
The most useful features are the readily available extensions that speed up the work.
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KNIME Cons

Agus Kurdiyanto
Solution Integrator at a comms service provider with 11-50 employees
I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports.
In my environment, I need to access a lot of servers with different characteristics and access methods. Some of my servers have to be accessed using proxy which is not supported by KNIME, so I still need to create the middleware to supply the source of my KNIME configurations.
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Dusty Evely
Business Analyst at a tech services company with 201-500 employees
I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something.
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Giovanni Marano
Senior Data Scientist
​The data visualization part is the area most in need of improvement.
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Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: August 2019.
366,486 professionals have used our research since 2012.
Wim Michielsen
Data Science Consultant
The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R).
The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily.
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Hilton Rossenrode
Business Analyst at a retailer with 501-1,000 employees
The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best.
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Ling Li
Intern at a energy/utilities company with 10,001+ employees
They could add more detailed examples of the functionality of every node, how it works and how we can use it, to make things easier at the beginning.
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Evans Otalor
Business Intelligence Manager at Telecoms
Data visualization needs improvement.
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Prithviraj Dutta
Data Scientist at a tech services company with 1,001-5,000 employees
The documentation needs a proper rework. ​
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Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: August 2019.
366,486 professionals have used our research since 2012.
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