KNIME Room for Improvement

AmanKumar
Business Intelligence Consultant at a tech services company with 1,001-5,000 employees
One thing that I found was that in the open-source version of the KNIME analytics platform, we see difficulties in scheduling jobs. If the scheduler could be updated in the open-source version, the software will be easier to schedule properly and to use efficiently. The second time that I faced difficulty using KNIME was with data processing time. When we use large chunks of data for local processing, the processing is very slow. We do not want to move these big data often. For me, it seemed that moving one gigabyte of data went very slowly. So, the second thing that I would really like to see is a better ability to handle large amounts of data locally with KNIME in an efficient manner. The third area that might be improved is that when we have a large amount of data — let's say like five gigabytes — then there is one panel completely ignored. The impact of that on the results of our data processing is not good. So I would really like to see the load balancing and the overall processing time substantially reduced. So the things I would most like to see are the ability to handle large amounts of data and improved performance in processing. View full review »
Agus Kurdiyanto
Solution Integrator at Ericsson
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. View full review »
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. View full review »
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Giovanni Marano
Senior Data Scientist
I think the data visualization part is the area most in need of improvement. View full review »
Hilton Rossenrode
Business Analyst at a retailer with 501-1,000 employees
The overall user experience feels unpolished. * Data field type conversion is a real hassle, and date fields are a hassle. * Documentation is pretty poor. * User community is average at best. View full review »
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. View full review »
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. View full review »
Evans Otalor
Business Intelligence Manager at Telecoms
Data visualization. View full review »
Prithviraj Dutta
Data Scientist at a tech services company with 1,001-5,000 employees
The documentation needs a proper rework. View full review »
Angus Lou
Head Of Business Solutions | Unmanned Shop | Automated Retail | AI | IoT | Robotic | Data Science with 51-200 employees
It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end. View full review »
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: February 2020.
398,890 professionals have used our research since 2012.