Miriam Tover - PeerSpot reviewer
Service Delivery Manager at PeerSpot (formerly IT Central Station)
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What needs improvement with KNIME?

Please share with the community what you think needs improvement with KNIME.

What are its weaknesses? What would you like to see changed in a future version?

PeerSpot user
20 Answers
Alexis Bustamante - PeerSpot reviewer
STI Data Leader at grupo gtd
Real User
Top 5Leaderboard
Jul 27, 2022

For now, the license is quite expensive for us and it would be helpful if that was reduced.

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Crystallization Lab Analyst at a pharma/biotech company with 10,001+ employees
Real User
May 19, 2022

KNIME can improve by adding more automation tools in the query, similar to UiPath or Blue Prism. It would make the data collection and cleanup duties more versatile.

Gergely Tamás - PeerSpot reviewer
Director at Applied Logic Laboratory
Real User
Top 20
Apr 27, 2022

It's very general in terms of architecture, and as a result, it doesn't support efficient running. That is, the speed needs to be improved. The scalability needs to be improved as well.

Lasse Seppänen - PeerSpot reviewer
Principal Lecturer at HAMK
Real User
Top 20
Apr 4, 2022

There are some parameters that I would like to have at a bigger scale. The upper limit of one node that tries to find spots or areas in photos was too small for us. It would need to be bigger.

Vivek Rane - PeerSpot reviewer
CEO at Alpha Analytics
Real User
Top 10
Feb 17, 2022

KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too.

LaurenceMoseley - PeerSpot reviewer
Professor of Health Services Research at a university with 1,001-5,000 employees
Real User
Top 5Leaderboard
Feb 9, 2022

So far, I haven't had problems with it, so I haven't really thought about room for improvement. It's so much better than many other things. It's useful in that you can at least get people who are pretty averse to programming to start thinking about putting something into a program of any kind, because they can see what's happening. It's visual. It's codeless. For some purposes, I'd want to add Python or R, but I haven't had to do that so far, so I haven't seen the shortcomings of it. There must be some. All software has shortcomings, but I haven't recognized any myself. Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself. I use both Thurstone scales and magnitude ratio scales quite a bit, and they're very powerful. But I've always had to do all the analysis myself in some simple code. I don't think that's provided. You could probably include it in KNIME, but I haven't tried to do it. If it just said, "Analyze scales," and you'd choose which sort of scale you want to analyze and it gave you the options of normalizing or reversing or whatever it happens to be, that would be helpful. There are lots of simple functions that you want to apply to scales, which would be useful in any software, including KNIME.

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Solutions Architect at a retailer with 10,001+ employees
Real User
Oct 4, 2021

I would prefer to have more connectivity. The user documentation is insufficient. I would like to see more enterprise level application. There are high end features which should appear, the MLOps platform being one. This feature is key. There should be better connectivity to such platforms as AWS and SageMaker, as we rely heavily on AWS in RL. For certain South Asian markets, we plan to go with Azure, so it is important to have connectivity to both of the major clouds. There should be AI machine learning based algorithms. Such features should be available out of the box with good precision.

Professor at a university with 51-200 employees
Real User
Top 5Leaderboard
Aug 30, 2021

An improvement which can universally be made to products is to make them more simple. Code-less products are simplified. Both RapidMiner and KNIME should be made easier to use in the field of deep learning. While KNIME has all the requisite features, there is a shift from coding to programming with virtual language. It is only a process of making one's solution easier to use.

SnehaaSelvakumaran - PeerSpot reviewer
BI Solutions Developer at a tech services company with 201-500 employees
Real User
Oct 31, 2020

The user interface could be a bit better. It's currently very dated. They should look at other vendors like Alteryx that are more user friendly and modern. From a systems point of view, the tool is not completely user friendly. Users tell us they would like to do their own analytics and find it difficult to accomplish without the help of a technical service. You need to be a bit more knowledgeable in order to handle the solution. It's not difficult, it's just more technical than other options.

Research Analyst at a university with 51-200 employees
Real User
Oct 30, 2020

From the point of view of the interface, they can do a little bit better.

Vivek Rane - PeerSpot reviewer
CEO at Alpha Analytics
Real User
Top 10
Oct 28, 2020

There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool. This would make workflow development faster because several tools could be used together, based on the function that is chosen. Each would complete one of the constituents of the task.

Senior Vice President at a financial services firm with 10,001+ employees
Real User
Oct 27, 2020

I think some of the online training content could be better, although I have been able to find all of the information. At times they're quite lengthy, and for me to go through everything and then get a resolution takes a good amount of time. They could have a more structured node-wise training model, where I can simply get into it. For example, if I need to understand a node to create pivot tables, I have to go through the training mode to understand what the functionality is. If they had a more structured training model it would be very helpful. It would be helpful to launch more certification programs online. There could be better marketing. The awareness of Knime is limited, especially for small organizations. When you compare with PowerBI, there is a lot of active marketing put into their product, also, having Microsoft associated with it is an advantage. They have to step up on the marketing aspect and the ability to digitize using Knime. Many are aware of other tools such as PowerBI. In the next release, I would like to see the certification available for active users. Also the costing aspect of the certification, there could be more local impact time zone programs with a bit of costing dissension to encourage more active users in Knime who can then move to the server version in their organization.

Piotr Świątek - PeerSpot reviewer
Test Engineer at ProData Consult
Real User
Sep 3, 2020

It is difficult to say at this time, as I am not using the latest version. I have noticed that I don't have the latest modules that were added, such as ML. In my opinion, there's one thing lacking. As far as algorithm notes go, it would be handy if category algorithms of C4 or C4.5 could be set with a checkbox or something like that. Once you go to the forum or the documentation, to see how to implement a C4.5, you mark the checkbox, and only then it would be content for C4 or C4.5. The documentation is lacking and it could be better. It's a community-driven product but there are a few crucial models missing such as ANOVA and MANOVA.

Benedikt Schwaiger - PeerSpot reviewer
CEO at SMH - Schwaiger Management Holding GmbH
Real User
Aug 2, 2020

The user interface could be a little bit more comfortable. The usability, in general, could be much better. The predefined workflows could use a bit of improvement.

Tseesuren Batsuuri - PeerSpot reviewer
VP, Software and IT Service at ITZone LLC
Apr 16, 2020

We are worried about the performance when it comes to using a lot of data that has many rows and columns. On the server-side, we are not sure whether KNIME can manage or handle large amounts of data without issue. It looks like it will easily work for small datasets but we are concerned about performance as the volume increases. KNIME needs to provide more documentation and training materials, including webinars or online seminars. At this time, it is not sufficient when compared to some other vendors. The user interface needs to be improved because it looks quite messy and I am not very comfortable using it.

Teacher at a university with 1,001-5,000 employees
Real User
Apr 2, 2020

I had some difficulty connecting to servers. It asked me to set something up on my server and it asked me for a code that I needed to generate on the server. There were several steps that I messed up. I followed all of the instructions but I couldn't manage it at all. I followed the directions in several forums to find out the problem. There should be better documentation and the steps should be easier.

Vadim Shumilov - PeerSpot reviewer
Data Analytics Consultant at Optivia
Real User
Mar 11, 2020

The areas that I feel need improvement are: * It needs support for a joiner node to have three outputs (left unmatched, matched, right unmatched), as competitors do (have not checked 2019/20 releases). * I need the ability to add additional comparison conditions to a join. For example, in SQL you can specify only rows with a date fitting within a date range from the joined file. At the moment in KNIME, you should allow a join explosion to take place and filter what you need later, but sometimes the output becomes too big. * It would be helpful to have more examples of Java code for nodes, like Java Snippet. * I would like to have this solution show row counts on canvas, as it would improve the control and speed to build the workflow. * The pseudo-code types could be rationalised into one (e.g. only Java). * I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script.

Business Intelligence Consultant at a tech services company with 1,001-5,000 employees
Dec 30, 2019

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.

Head Of Business Solutions | Unmanned Shop | Automated Retail | AI | IoT | Robotic | Data Science at Smart Retail
Real User
Oct 15, 2019

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. The learning curve is steep.

Intern at a energy/utilities company with 10,001+ employees
Real User
Aug 9, 2018

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.

Related Questions
EzzAbdelfattah - PeerSpot reviewer
Associate Professor of Statistics at KAU
Dec 30, 2019
I have experience working as a data scientist and as an associate professor of statistics. I am currently evaluating IBM SPSS Modeler and KNIME. What are the biggest differences between the two? Which do you recommend? Thanks! I appreciate the help.
2 out of 4 answers
Robotics Club President at a university with 1,001-5,000 employees
Dec 27, 2019
KNIME. It free, open-source, and you can plug in Java, Python, R, and Matlab. The community is awesome.
Dec 28, 2019
The main difference lies in the community that has KNIME because the additional modules serve a multitude of different jobs from image processing, management of ssh file systems to chemical molecule calculations.
Miriam Tover - PeerSpot reviewer
Service Delivery Manager at PeerSpot (formerly IT Central Station)
Aug 8, 2022
Hi, We all know it's really hard to get good pricing and cost information. Please share what you can so you can help your peers.
2 out of 14 answers
Head Of Business Solutions | Unmanned Shop | Automated Retail | AI | IoT | Robotic | Data Science at Smart Retail
Oct 15, 2019
One of the benefit for KNIME is free for desktop version, which is enough for small team work. It is worthy to try but prepare for times to search and learn. It is not really as easy as drag and drop.
Vadim Shumilov - PeerSpot reviewer
Data Analytics Consultant at Optivia
Mar 11, 2020
KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website. The fact that KNIME is open source may create challenges from an IT security view in an enterprise environment.
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