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2018-08-09T07:01:00Z

What needs improvement with KNIME?

37

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?

ITCS user
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1313 Answers

author avatar
Top 5LeaderboardReal User

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.

2021-08-30T13:24:30Z
author avatar
Top 10Real User

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.

2020-10-31T08:27:11Z
author avatar
Top 20Real User

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

2020-10-30T23:33:48Z
author avatar
Top 10Real User

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.

2020-10-28T11:06:07Z
author avatar
Top 10Real User

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.

2020-10-27T16:32:08Z
author avatar
Top 20Real User

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.

2020-09-03T07:49:45Z
author avatar
Top 20Real User

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.

2020-08-02T08:16:50Z
author avatar
Top 20Reseller

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.

2020-04-16T08:44:40Z
author avatar
Real User

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.

2020-04-02T07:00:00Z
author avatar
Top 20Real User

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.

2020-03-11T04:45:00Z
author avatar
Consultant

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.

2019-12-30T06:00:00Z
author avatar
Real User

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.

2019-10-15T04:56:00Z
author avatar
Real User

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.

2018-08-09T07:01:00Z
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