KNIME Business Hub Reviews

I primarily use this product for data engineering and data wrangling.

The most valuable feature is the data wrangling, which is what I mainly use it for.

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

I have been using KNIME for three years.

Scalability is not a relevant consideration for KNIME because I am using it myself.

I feel that the community is a bit too Java-oriented. It would be better if it grew and became more diversified, from a data engineering perspective.

The initial setup is straightforward.

There are different licenses available.

The only other option I have is Alteryx and the functions in KNIME are better.

This is a very handy tool and I use it quite interactively. I am not an expert-level user and it pretty much has everything that I need.

I would rate this solution an eight out of ten.

I am a basic user, doing a data science course.

I am using Knime more from a study perspective, rather than a practical work application.

I am fairly competent with creating workflows and automating some basic things in Knime.

NA

From a user-friendliness perspective, it's a great tool.

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.

I have been using Knime for approximately one year.

We are in the testing phase of this solution.

It is quite stable. I have not been faced with any issues since I have been using this solution.

Knime is a scalable product.

We have five power users who are test prototype users at the moment. We are trying to sell that prototype to the management so that we can deploy it on a larger scale.

I have never had the need to reach out to technical support.

At some point when I move on with the server versions, I might need some help.

The desktop version, it's more of an install and then just run it.

At this time, I am using the free version of Knime.

I did look at Tableau and was considering it to some extent. I felt Knime was more user-friendly and more versatile to automate tasks (most of them excel based).

I am quite supportive of this product. It has been helpful in automating a few of my accounting activities.

Digital groups such as Knime have great potential, but there needs to be more aggressiveness with marketing. There are many executives that do not know what Knime is.

My journey starts by explaining what Knime is and what the functionalities are.

I like Knime, and I would rate this solution a nine out of ten.

Our analysts use Knime in the company for data modeling, data wrangling, and data preparation. We have a good amount of data that we work with.

I do not personally use the product, but I am familiar with its usage through my analysts.

Data preparation and data modeling are easy to do.

It is very fast to develop solutions.

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.

We have been working with Knime for approximately one year.

This product is quite stable and we haven't had any problems.

Knime is a scalable solution and we haven't experienced any issues. There are six of us who are using it.

Prior to Knime, we were using Alteryx. However, Alteryx is too costly and our customers don't want to pay for it.

The initial setup is easy.

The price for Knime is okay.

I would rate this solution a nine out of ten.

I am advocating the use of this solution in my organization. I use it personally for my purposes and for the company, I use it for internal data science with very good results.

What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.

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.

I have been using KNIME since December 2019.

In my opinion, it is very stable.

I have not yet explored the scalability as I am using it on my local machine and I don't have the experience of putting it on the cloud.

I do plan to increase my usage.

The documentation is okay, although there are things missing. At the same time, the forum support is great.

Previously, I was using SPSS Statistics, although that was ten years ago. I had a gap in data mining and the statistic field as a whole.

The initial setup is very straightforward.

It's an open-source solution.

I am considering further courses and maybe some certification in the next year.

I would strongly recommend KNIME. It's a modeling or statistics product that can be used by almost anyone with knowledge in the field. It works almost out of the box.

For starters, it's approximately two hours of watching videos and/or reading the documentation, and then off you go.

I built my first working model in two days when I started using KNIME, and it only needed to be tweaked. It was impressive.

I would rate this solution an eight out of ten.

We primarily use the solution as an ETL - to Extract, Transform, Load topics.

All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function.

Technical support has been extremely responsive so far.

The solution has a very strong and supportive community that shares information and helps each other troubleshoot.

The solution is very stable.

The initial setup is pretty simple and straightforward.

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.

I've been using the solution for five years.

The solution is pretty stable. I don't recall facing any bugs or glitches. The solution doesn't crash or freeze. It's fairly reliable overall.

We have about 10 users in the company that are on the solution regularly. They are all either engineers or business consultants.

The technical support on offer is very good. We rarely have issues, however, if we do, the support that is provided is very fast and the team is very knowledgeable. There's also a very strong and active KNIME community that includes KNIME developers.

At the end of the day, when we run into issues, it's dealt with immediately and we're very satisfied with the level of service provided.

The initial setup isn't complex. I'd describe it as straightforward. What makes it very easy is that there's so much material available online. Users have access to many forms of documentation, including webinars and training documents. When it comes to finer details, of course, it gets more complex, however, that's pretty normal in every product. 

We are KNIME partners and also provide KNIME training to clients as well.

We're a startup, and we're in the startup phase, however, we are working to build more business relationships with KNIME.

In my previous company, we were also partnered with KNIME. Currently, I'm working as a consultant and we have a customer who is using SAP Analytics, however, I am interested in learning more about the differences between KNIME and SAP Analytics. That's something I'm looking at right now.

We would definitely recommend this solution to other organizations.

I'd rate the solution eight out of ten. I don't know if there's a tool better than this particular product, however, there's always room for improvement on any technology.

We are a solution provider and KNIME is a product that we are working on reselling to our customers. We sell BI tools such as Tableau and many of our customers that are using these tools need to have an AI solution. They have lots of use cases for AI including, for example, those from the financial sector would like to use AI for credit scoring. We also have government clients who will have their own specific use cases.

We have not yet sold it to any of our customers because they are still using the free tools and we are promoting it based on that.

The nicest part of KNIME is that the designer tool is free.

This solution is easy to use and it can be used to create any kind of model.

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. 

I have been familiar with KNIME for two or three years but we have been actively interested in it for less than a year.

We have not deployed the entire solution for a customer yet. However, we have been working with the design tool, which does not require deployment. You just have to download it and then it can be used for testing demonstration data.

The price of KNIME is quite reasonable and the designer tool can be used free of charge.

Many of our customers have streaming data and want to use an AI model. We do not yet know whether KNIME will handle live-streaming and it is something that we intend to test.

I would rate this solution a seven out of ten.

I use KNIME for clustering data analysis. 

It's a coding-less opportunity to use AI. This is the major value for me.

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. 

I have been using KNIME for three to four months. 

I haven't needed to contact their support. 

I tried Python and Microsoft. 

The initial setup was super easy. It was really quick. I did it myself for personal use. It didn't take longer than half an hour. 

Some of the samples are outdated but my advice to someone considering KNIME is to use their samples. 

I would rate KNIME an eight out of ten. 

In the next release, the should have more comprehensive samples.

Our primary use case for this solution is shopping-basket analysis.

It gives much insight about business in different aspects, from understanding product portfolio to clients, much of them arouse interests from important stakeholders

It is a complete data science platform and especially good at scaling up data preparation and wrapping. It provides a large numbers of algorithms to look at data from different angles

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.

We have been using this solution for six months.

Very good

Perfect

Very good and very prompt, usually in a few hours, can't complain more

I wrote Python in different IDE, however KNIME is easier to tackle with changes in data sources, processes, and expectations, etc. It is simple to work around with different situations for testing and comparison. 

Setup is very easy, no more than a normal app

I do it myself, and I am super-user level

More than worthy to invest

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.

I check with Alteryx and RapidMiner

Official and structural online training is a must, which is now not enough. Or you can start something simple very easily but stuck to go deeper. However KNIME response is very prompt.