KNIME Business Hub Reviews

We use the solution for data analytics and logic design.

The product is working fine with Oracle.

It is is written in Java. If they can output the Javascript, it will be much better. Also, it could be integrated with Visual Studio.

I have been using KNIME for three years.

20 users are using this solution. Scalability is quite easy, but handling many notes can become messy.

Most of the things is available in the community.

It's quite easy to setup.

I have a CSV reader. When I reset that CS reader, and It gave some error.

I have a CSV reader, and I encounter an error whenever I try to save. However, if I reset the CSV reader, I am able to save successfully. It’s a rare issue, but there's something wrong with the CSV reader. The error message doesn't provide a solution, only indicating a problem with the CSV reader.

I want to save the project but always face saving issues. If I reset the node, the saving works fine. The error message isn’t clear about what is wrong or how to fix it. I discovered on my own that resetting the CSV reader from green to yellow allows me to save the project. This issue is quite rare.

Last Friday, there was a widespread CrowdStrike issue, and I had to restart my computer. After restarting, I lost my entire project.

I recommend the solution.

Overall, I rate the solution a nine out of ten.

I encountered a problem that I managed to resolve effectively. I documented the issue in a paper and aimed to determine if the issue was due to normal network behavior or an anomaly. To investigate, I employed machine learning models and used the KNIME’s database. I gathered a significant amount of data and extensively applied machine learning models. Ultimately, I achieved improved data accuracy, especially in the context of network data.

I believe that some individuals may not be skilled programmers, and this is where the agenda comes in. It allows for a user-friendly approach where you can simply drag and drop elements to create your model, which is a convenient and effective idea.   

The pricing needs improvement. 

I have been using KNIME for the past six months.

It is stable solution.

It is scalable solution. 

The initial setup is straightforward.

It is expensive to procure the license.

I would rate the overall solution an eight out of ten. I would suggest this application to individuals involved in auditing. It's user-friendly and makes it easy to initiate model creation.

I am an intern. I am pursuing my master’s degree. I use this solution to propose a solution for accreditation review. I needed a tool to automate this task for my sources. This solution has helped me to do that.

The dynamic column name feature could be improved. When attempting to automate processes involving columns, such as with companies, it becomes difficult to achieve the same result when we make changes. So maybe it would be helpful to have a way to find similar column names automatically and execute a single approval, for instance.

In future releases, I can suggest having an API along with tools or services. This would allow for customization since the API is already available in other versions.

So, I suggest having an API for customization.

I have been using KNIME for six months.

I would rate the stability of KNIME a ten out of ten. 

I would rate the scalability of KNIME a six out of ten. 

I have used Alteryx. I prefer this solution over Alteryx because of the pricing point. KNIME is free and open source. 

The initial setup is easy. I will rate my experience with the initial setup a nine out of ten, where one means it's difficult to set up, while ten means it's very easy.

I deployed the solution myself. It took around one month to deploy it. 

KNIME is free and open source. I would rate the pricing model one out of ten, where one is low price, and ten is high price. 

It is a good tool and easy to learn. We do not need to know the codes before using the solution.

Overall, I would rate the solution a seven out of ten. 

KNIME is mainly used for developing workflows for machine learning and VA. We are using integrated Python scripts.

The solution has improved our company because it is economical as it is an open-source platform. There are not a lot of costs involved.

The most valuable features of KNIME are its ability to convert your sub-workflow into a node. For example, the workflow has many individual native nodes that can be converted into a single node. This representation has simplified my workflow to a great extent. I can present my workflow in a very compact way.

I want to access more of the popular deep learning libraries or frameworks as they have in other solutions, such as TensorFlow and PyTorch. There should be better integration, and a better way to use those libraries because they are very popular. Our company uses PyTorch and TensorFlow regularly to solve many computer vision problems. We expect better integration of those two tools.

KNIME could improve when it comes to large data markets.

I have been using KNIME for approximately one and a half years.

The solution is stable but it could improve.

I rate the stability of KNIME a six out of ten.

We have approximately 25 people using this solution in my company. The employees typically do business analytics with MLS and DLLs in their workflow.

We are not using the solution at its full capacity.

I rate the scalability of KNIME a six out of ten. 

I have not contacted the support from KNIME directly. We use online forums and blogs.

We used Alteryx prior to KNIME.

We do the deployment of the solution in-house. We have a team of approximately five to seven people who not only take care of these pipelines, and workflows in this solution, but also do a lot of AI and ML module developments.

This is a free open-source solution.

We selected KNIME rather than Alteryx because of the price comparison.

We usually only use the coding methods using Python. When people don't have much experience with coding, then we always recommend they choose the concepts of analytics and machine learning, mainly a no-code tool, such as KNIME or Alteryx. They become close to citizen developers. We will teach them coding aspects later. They always start with a no-code or a low-code tool, such as KNIME and Alteryx. Once they learn slowly, we switch them over to coding access.

I would recommend this solution for use cases that has a small amount of data and not a lot of code needed.

I rate KNIME a six out of ten.

We use this solution primarily for automation processing, source data, and for data lake or databases. 

I like the visual features and that we can connect using a pixel or an icon for the sources and controls. KNIME is easy to use, it's stable, powerful, and has a lot of features.

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

I've been using this solution for a few years. 

The solution is stable. 

We have five people using this solution so we haven't yet tested the scalability. 

We use the community for any questions we have. 

I think the deployment requires a specialist but once it's implemented it doesn't need any maintenance. 

We use the community version; the enterprise version is expensive for us. If we need better support or have other requirements we might need to move to the enterprise version. 

I rate this product nine out of 10. 

We use KNIME for data and manipulation.

We have found KNIME valuable when it comes to its visualization.

We have been using KNIME for the past five years.

KNIME is stable for our needs after using it for five years.

KNIME is not scalable.

I have had no need to contact technical support.

I have used Python. The logic is the same, but the interface is totally different.

The setup for KNIME is simple. I would rate the setup a five on a scale of one to five.

I would rate KNIME a seven on a scale of one to ten.

KNIME is used for collecting data for data science.

KNIME has improved our organization because we are able to collect data in a way that we can interpret and it provides visuals.

Overall KNIME serves its purpose and does a good job.

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.

I have been using KNIME for approximately four years.

KNIME is stable.

KNIME is always highly scalable, as new features come out and things that we learn from the new features can help us interpret data better.

We have approximately 12 people using the solution. There are three groups of users, the data entry team, data collection experts, and data interpreters. They use the solution for two months for each project we work on. We are planning on hiring more data scientists.

I rate the support from KNIME a three out of five.

I have not used other solutions other than KNIME.

The initial setup of KNIME was not challenging, but it took some practice.

The full deployment took us approximately one year. It took us a little while to adjust to the solution because many of the users did not have an analytics background, we had to teach them.

I rate the ease of setup for KNIME a four out of five.

We did evaluate other solutions. We decided to use KNIME because it is open source and was easier to start with.

My advice to others is to start out slow and gradually increase operations. 

I rate KNIME an eight out of ten.

There are other applications that I've used that make collecting the data and interpreting it a lot easier. If they could improve this my rating would increase.

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.