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KNIME Business Hub pros and cons

Vendor: Knime
4.1 out of 5
Badge Ranked 1

Pros & Cons summary

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Prominent pros & cons

PROS

Usability of KNIME Business Hub is highly praised, providing a neat organization of workflows and advanced process automation.
Valuable features include readily available extensions, visual workflow creation, and automatic caching, enhancing data management and analytics.
It allows for integration and manipulation of data from multiple sources, supporting advanced analytics and prototyping with significant reductions in time.
Scalability and stability are emphasized, with KNIME Business Hub enabling efficient handling of large data sets and seamless deployment in clusters.
KNIME Business Hub supports non-coding users with a low-code, no-code approach, expanding access to data analytics and machine learning functionalities.

CONS

KNIME Business Hub's documentation needs a significant rework, with a need for more detailed examples, use cases, and training materials.
The data visualization capabilities are lacking, requiring improvement to match the possibilities available in tools like R.
KNIME Business Hub struggles to handle very large files or databases, affecting performance and stability.
Support for accessing servers via proxy is missing, necessitating additional middleware for certain configurations.
There are challenges in machine learning and deep learning areas, with a need for enhanced tools for these functionalities.
 

KNIME Business Hub Pros review quotes

it_user166137 - PeerSpot reviewer
CEO with 11-50 employees
Jul 25, 2015
It has an excellent interface, is very easy to use, really boosts productivity, has impressive performance even on a normal laptop, and its diversity of tools for preprocessing and integration with R and Weka make it the perfect data mining solution.
it_user461148 - PeerSpot reviewer
Partner, Turkey and The Netherlands at a tech vendor with 201-500 employees
Dec 23, 2017
KNIME is an open sourced platform and has a free desktop version with unlimited data size and functionality.
DT
Associate Analyst at a consultancy with 1,001-5,000 employees
Aug 23, 2017
Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing.
Learn what your peers think about KNIME Business Hub. Get advice and tips from experienced pros sharing their opinions. Updated: March 2026.
884,976 professionals have used our research since 2012.
AK
Solution Integrator at a comms service provider with 11-50 employees
Mar 8, 2018
The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database.
PD
Data Scientist at a tech services company with 1,001-5,000 employees
Mar 8, 2018
We have been able to appreciate the considerable reduction in prototyping time.
DE
Business Analyst at a tech services company with 501-1,000 employees
Mar 13, 2018
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.
it_user837516 - PeerSpot reviewer
Business Analyst at a retailer with 501-1,000 employees
Mar 14, 2018
We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics.
EO
Business Intelligence Manager at Telecoms
Mar 14, 2018
It has allowed us to easily implement advanced analytics into various processes.
GM
Senior Data Scientist at a recreational facilities/services company with 1,001-5,000 employees
Mar 14, 2018
Clear view of the data at every step of ETL process enables changing the flow as needed.
it_user837522 - PeerSpot reviewer
Data Science Consultant
Mar 14, 2018
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.
 

KNIME Business Hub Cons review quotes

it_user166137 - PeerSpot reviewer
CEO with 11-50 employees
Jul 25, 2015
The diversity of native algorithms could be improved.
it_user461148 - PeerSpot reviewer
Partner, Turkey and The Netherlands at a tech vendor with 201-500 employees
Dec 23, 2017
In the previous versions, I had some issues when reading large Excel files due to memory usage.
DT
Associate Analyst at a consultancy with 1,001-5,000 employees
Aug 23, 2017
System resource usage. Knime will occupy total system RAM size and other applications will hang.
Learn what your peers think about KNIME Business Hub. Get advice and tips from experienced pros sharing their opinions. Updated: March 2026.
884,976 professionals have used our research since 2012.
AK
Solution Integrator at a comms service provider with 11-50 employees
Mar 8, 2018
I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports.
PD
Data Scientist at a tech services company with 1,001-5,000 employees
Mar 8, 2018
The documentation needs a proper rework. ​
DE
Business Analyst at a tech services company with 501-1,000 employees
Mar 13, 2018
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.
it_user837516 - PeerSpot reviewer
Business Analyst at a retailer with 501-1,000 employees
Mar 14, 2018
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.
EO
Business Intelligence Manager at Telecoms
Mar 14, 2018
Data visualization needs improvement.
GM
Senior Data Scientist at a recreational facilities/services company with 1,001-5,000 employees
Mar 14, 2018
​The data visualization part is the area most in need of improvement.
it_user837522 - PeerSpot reviewer
Data Science Consultant
Mar 14, 2018
The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R).