What advice do you have for others considering KNIME?

Overall, I would rate it a five out of ten.

KNIME offers a free starter tool with a desktop version that allows you to manage the entire data lifecycle and build data pipelines. This is suitable for small data science or engineering teams. However, if you need to deploy KNIME at an enterprise level or require advanced features, you must purchase a license. The pricing is reasonable compared to alternative tools, but it might be beneficial if there were more affordable options for small businesses or SMEs. Overall, I rate the solution an eight out of ten.

In data analytics workflows at our company, we use KNIME for the preprocessing of data, and for a few projects, an ETL track was built using KNIME. We are planning to use KNIME Business Hub to create data apps where a dashboard of analysis can be prepared and presented to others. Our company mostly uses KNIME for small datasets, projects, and customers who don't have much expertise in data analysis. We introduce KNIME to our organization's customers to get started with data analysis. The solution is very easy to use. For advanced data analytics, I use a tool different from KNIME. The product has impressive data-blending capabilities. The solution is user-friendly and helps our company easily onboard new users. I would definitely recommend the product to others, majorly to individuals with beginner-level programming and data analytics skills. I would rate KNIME an eight out of ten.

The tool has a community, and people are very helpful. I've been impressed by that. I'm trying to think of ways I want to improve. I did start it up on a Windows PC. It seemed a bit easier for some reason, but I'm now on a Mac. I have trouble with the magic mouse, but that's an issue with any software not specific to KNIME. It worked well when I received data from other people. I haven't tested it on a ten-billion-item database, but it works well for hundreds of thousands to a million items. I haven't tried the big databases because that's for the commercial version. The solution has a lot of video material for teaching and upskilling people. If I've got a colleague that I just introduced to it, I send them links to two videos, and they learn from that. That's two hours of work for them in two sessions, and they've got a programming language under their belt. For instance, I've never used it to build a neural net, though it has many different neural nets. I have used it for decision trees, regression models, and so on, and KNIME has been very easy to use for those. It takes much of the work away from you. For example, if I build a decision tree, I usually want to take several samples from your training data and then choose the best outcome. With the tool, you just put the Decision Tree Learner node in there, set what percentage you want for training and testing, say 60% for learning and 40% for testing, and how many times you want to do it, like seven times. It runs seven samples, does the training and testing, and reports back to produce a model. Then, you can use a Scorer node to score your results. I produced the first-ever machine learning exercise in nursing in 2008, which wasn't using KNIME, but I think KNIME was available then. That project was associated with a reduction in the dropout rate from the university from 19% to five percent over three years. And you can do all that for free with KNIME, even with a dataset of about 1,200 students, on your PC with no trouble. I read a report from Uppsala in Sweden where, during the pandemic, they had to repurpose many drugs developed for other diseases to find out which ones would be useful for COVID. They went through thousands and millions of drugs, and it seemed to reduce the time to develop or choose drugs by a major factor. The solution accessed about eight or ten different chemical databases, biobanks, and similar resources and could integrate with all of them. One of the good things about KNIME is its ability to read different data sources. For instance, it has platform connectors, allowing you to link to various external systems. It's just a matter of plugging in a node and linking it up without usually needing to write new code. For example, in my use case, reading from an Excel file used to require configuring a node manually, but now you choose the file you want to analyze, put it on your workspace, and it recognizes the file structure automatically, whether it's an Excel file, CSV, or tab-delimited file, and provides the correct node. It's quite intelligent. If you’re considering using the solution for the first time, I recommend starting with a one-hour introductory video to get a basic understanding. If you need more information, check out KNIME TV. They have a channel with hundreds of short videos, usually five to 30 minutes long. These videos show you how to drag and drop nodes, configure them, and run them to see the results. It’s a very visual way of learning. I rate the overall product a nine out of ten.

The solution is very essential when we require an explainable data modeling pipeline. We can show the workflows of KNIME to our customers and talk about it instead of showing the code and expecting them to read, which they can never do. The process of providing KNIME to the client, how it works, where we get the data, what the initial data statistics were, and what we get in return are pretty explainable. We worked on multiple retail projects and insurance scoring projects. KNIME is perfect for data pre-processing projects. The important thing is that when someone builds a KNIME workflow, we can quickly onboard and change it for something else. It means that we don't need to read and understand the code. It means that it's replicable and reusable. If somebody does something, somebody else can quickly onboard and enhance, improve, or totally change the workflow from scratch. It's pretty hard and time-consuming for typical use cases where we utilize coding. KNIME's open-source nature has a good impact on our analytics work. Recently, KNIME added something relevant to generative AI integration, which was a good move. Alteryx is slightly more powerful than KNIME, and Dataiku is more powerful than both KNIME and Alteryx. I sometimes work with the on-premises version of KNIME and sometimes the cloud version. The solution does not need any maintenance. Users should quickly start using KNIME for whatever they want to do, and they'll learn it on the go easily. I would recommend the solution to other users. Overall, I rate the solution an eight out of ten.

I like it a lot. I would advise that you shouldn't be afraid of data science. It's actually straightforward. Overall, I would rate the solution a nine out of ten.

KNIME is a perfect solution for small and big companies, especially people who are using Excel. KNIME is very easy to learn and implement, and doctors and lab personnel can use it. Lots of companies are supporting KNIME and writing their own extensions. Data analysts and data scientists are using the solution for ETI processes. Overall, I rate KNIME an eight out of ten.

I would recommend it, especially for those who prefer not to program or have limited coding intervention. Overall, I would rate it nine out of ten.

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 have not received any response from my company, though I had proposed to my organization to buy KNIME so that we can use it on the servers since, right now, it is like a standalone tool used on my personal computer only. I am just a basic and not an advanced user of KNIME. I find KNIME to be a very useful tool. Speaking about the maintenance phase of the product, I would like to say that I cannot update the solution. If a new version is released, I cannot update the product. I always have to request my organization and the IT team to download and install the product's new version for me. I recommend others to use KNIME. I have recommended KNIME to my colleagues. I rate the overall solution an eight out of ten.

If you're evaluating KNIME, make sure to use a comprehensive use case. Sometimes, users might not find the nodes they need in the libraries, but most likely, it's due to improper searching. KNIME offers a unique platform with a wide range of nodes, so thorough exploration is essential to fully benefit from its capabilities. Overall, I would rate the solution a seven out of ten because I have not yet tried every feature. Otherwise, KNIME is really a great product.

Overall, I would rate KNIME a seven out of ten because we faced a problem with the integration with other products, like SAP.

Small, medium, or enterprise businesses can use KNIME. You have to be more careful in downloading because it is an open-source solution, and anybody can even spread a virus. It's up to the users whether they want to take that risk. But I don't see such problems working with the Alteryx community, where all the information is much safe to download and upload. I would suggest KNIME to someone with a low budget looking for a cost-effective solution. However, I would also give a disclaimer that they should be careful while downloading the connectors from the KNIME community because it's more open. Since it is an open-source solution, there are high chances of having some security issues. Overall, I rate KNIME seven out of ten.

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.

You must have the essential knowledge to solve the solution's compliance issues. It could be easier to use and integrate with other products. I recommend the solution to others and rate it as a seven.

I'd recommend it, but it comes with a trade-off that you need to spend a lot of time on your own to understand how it works. It's user-friendly, but the fact is that I downloaded it by myself, so I didn't have any formal support on how to use it. It was used in my previous company. They had the license and they encouraged us to use it. That's how I know it. I'd rate it an eight out of ten because I am not able to do some of the things, which could be because of my lack of knowledge, but it's a very good product. I see the benefit in terms of efficiency.

At the moment, only ten students use KNIME. The course just started. In my three months of experience with KNIME, it's an eight out of ten.

My advice to others starting out with the solution is for them to look up videos on the solution because there are hundreds of them, but start with the small ones. You can begin using KNIME with a one-hour introduction, which provides enough knowledge to complete most research tasks, but it does not cover all the fine details of the platform. KNIME offers tens of thousands of packages, or nodes, that are available for download to perform various tasks such as text processing or regression. It is not possible to learn all of it at once, it's best to start with analyzing data that interests you and then expanding your knowledge as you go along. The platform is reliable, as new features are thoroughly tested and it has never failed me in the many times that I have used it. I rate KNIME a nine out of ten.

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 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.

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

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.

For experimental work, KNIME is a good solution. However, for special task oriented developments, it's not the best. Considering this, I would rate KNIME at seven on a scale from one to ten.

You should do the KNIME courses, particularly the first two courses. They would give you a very good base to make KNIME work nicely, and you would also know how it really works. It is a really good system, and on a scale from one to ten, I would rate it at ten.

I rate KNIME nine out of 10. I would recommend it. I think KNIME is an excellent solution.

I would rate this solution 8 out of 10. I'm unwilling to give anything a ten, because everything can be improved. But it's been very useful so far to me and has saved me many hours of work. I could have written it all in Python if necessary, but it would have taken me weeks for what would been a few days' work. My advice is to just download it and use it. The documentation is pretty good. There are many good videos online for it. If I go to YouTube, you can get pages and pages of RapidMiner tutorials. They're pretty clear, and they are produced by people who've used it. It's not just company advertising, as far as I can see.

The solution is good for small scale implementation. Other solutions should be considered for enterprise level implementation. I rate KNIME as a five or six out of ten.

The best way to use the solution is to dive in, get practice and use it more. I rate KNIME as a nine out of ten.

I am both consultant and a vendor right now. We do a bit of consultant work for some of our clients and we give the tutorials to them. We typically get in touch with them, and they send what they need and we do the distribution for them. I'd recommend new users have their requirements sorted out first so that they know what they need out of the tool. If that is clear, they can install the custom content required in KNIME to get their analytics done correctly. If that is there, then it's a piece of cake. Overall, I'd rate the solution eight out of ten. If the user interface was better and it offered better technical support, I would rate it higher.

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 would rate this solution a nine out of ten.

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.

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 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.

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.

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.

If you need a good Visualisation functionality, you should use Tableau or something of that caliber. However, the data prep can be done KNIME, which would give you extra confidence that what goes into your Visualisation layer is correct. Overall, KNIME is definitely worth considering.

We have done a few projects with some of our clients in KNIME. In these cases, we mainly used KNIME because of its ability to work in a data center environment in an enterprise system. This was one of the most important things that we were looking for. The second point was that KNIME is an open-source analytics platform. The point is that if some client has less data or a relatively small database, then we can use the open-source platform instead of using Alteryx, which is fairly expensive. These are the options we advise our clients about. On a scale from one to ten where one is the worst and ten is the best, I would rate this product as an eight out of ten. I honestly do not feel familiar enough with this product that my rating is accurate as I need to be more familiar with it over time. On the other hand, I have used KNIME and other tools in a similar category — like Informatica and Alteryx. Informatica is purely a data warehouse software. Alteryx is something we use frequently. So I have used three ETL tools. If I compared KNIME with Alteryx which are the most similar of the three, then I think KNIME is much better for our purposes. Strictly as a comparison with Alteryx, I would rate KNIME as an eight.

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.

I would rate it at nine out of 10. It's good, it makes thing easier.