KNIME offers a delightful blend of power and ease-of-use. It uses a workflow (flowchart) interface. It offers you a collection of icons that represent steps in your analysis. You position each icon in a diagram and connect them with arrows that represent the flow of data or models from step to step. Double-clicking on an icon will open a dialog box allowing you to set the parameters of how that step should run.
You can document the workflow by clearly labeling each step, and by color coding entire sections of the diagram. As a result, you can look at another person's analysis and quickly get the big picture of what was done. If a diagram gets too complex, you can select a whole section of it and collapse it into a "metanode" so that one icon then represents all the steps. It's also easy to rerun an analysis on new data by simply changing the node(s) that read in data. Note that KNIME does not have a scripting language, nor does it need one.
I particularly like the company's view of open source software. The full desktop version of KNIME is free and open source, regardless of how much data you have. Its closest competitor price-wise is RapidMiner, which is free only if you have fewer than 10,000 cases. KNIME also offers excellent integration with a wide range of other open source software such as: Python, R, Spark, and even ImageJ for image analysis.
The server version of KNIME has a commercial license, i.e. not free. The company also sells software to let work groups share node libraries. For example, if I develop a new node in, say, R, and email it to everyone, then when I improve it, I'll have to email it again. Everyone using it would have to edit their work flows, but at least that's a free solution. However, if we purchase the collaboration extensions, I would make a change to the shared node, and everyone's work would be updated automatically. I appreciate having so much control over what to spend on a KNIME solution. Review collected by and hosted on G2.com.
For data mining or machine learning tasks, it's quite comprehensive, very similar to what RapidMiner, SAS Enterprise Miner, or SPSS Modeler can do. However, compared to a full statistics package such as R, SAS, SPSS, or Stata, it's lacking quite a few statistical methods.
You would have to lean on R or Python if you need statistical analysis rather than data mining. Each new version of KNIME adds more statistics, but it looks like it will be quite a while before they can offer full statistical capabilities. Unfortunately, no one tool offers comprehensive data mining, statistical modeling, and ease-of-use. In the ratings section, I'm giving it full marks as a data mining / machine learning tool. Review collected by and hosted on G2.com.
Video Reviews
Very good tool for automating data cleansing and blending
66 out of 67 Total Reviews for KNIME Software
Overall Review Sentiment for KNIME Software
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Besides the great ease of use, what I appreciate most is the community of professionals, enthusiasts, and people at KNIME. You can always find someone to give you a suggestion, help, or share their workflows, allowing you to save hours and hours of work Review collected by and hosted on G2.com.
At the moment, I have found only advantages, no drawbacks Review collected by and hosted on G2.com.
I am unsure where to start, because the agility of the platform is such that it's like learning a bicycle and not riding it for a while, Yet as soon as you open the interface, you know that it's as easy as riding a bicycle.
As I am attending the Knime conference and finishing up the first (L1) workshop, the session is ending and yet it is seems like I can continue to hear the instructor what is here, what is going to happen and what shall happen.
I can use it for simple task to replace excel, or run large AI models. I completed my dissertation work with KNIME about 4 years ago; Knime helped me then, and it continues to help me now. I use it for developing and running models, or to teach business intelligence. Sometimes I just use it showoff :).
I know the question is what I like best about the software, yet I could not hold my excitement to write above. I like the point and click workflow, the plethora of nodes, nodes that connect with other languages, and yes if you are data wrangler, I would say Knime is the best data engineering platform. And Yes now, checkout their Visual nodes, report generator, and if you are still shy of getting on AI bandwagon, try the GEN AI tools; Just search on Knime.com. Review collected by and hosted on G2.com.
I am unsure what to dislike. I just appreciate that team has build an open source platform that's perfect. Review collected by and hosted on G2.com.
The fact that their is a node for almost everything and you can check for errors at every stage. Review collected by and hosted on G2.com.
It can be little difficult to get data from databases Review collected by and hosted on G2.com.
Intuitive UI, the desktop version is completely free and open source, the great community which helps a lot with different uses cases. New nodes are added on each version and keep up with the trends like LLM.
Is the best alternative to Alteryx. Review collected by and hosted on G2.com.
Python integration can be improved when it comes to memory management and including more libraries by default (like Polars). Review collected by and hosted on G2.com.
It is a user-friendly and versatile data analytics tool that offers a wide range of data analysis and visualization capabilities. It has an extensive collection of pre-built nodes that can be customized and connected to create complex workflows Review collected by and hosted on G2.com.
It provides various visualization tools, but sometimes available options are limited compared to other data analytics platforms. Sometimes it s challenging to work with unstructured data, such as text or image data. Review collected by and hosted on G2.com.
Knime helps to harmonise the most complex data with ease. Its an Open source, supports wide range of data sources, has Drag and Drop interface and is extensible. Review collected by and hosted on G2.com.
Platform can be challenging to learn and Navigate particularly for the beginners. And Knime sometime do crash when the processing of the nodes are high. It has some glitch too Review collected by and hosted on G2.com.
I like the possibility to automate a lot of work that I usually do at my job. It is very easy to import and export data from/to Excel file.
It is very useful that the function that you can apply are in visual block Review collected by and hosted on G2.com.
I try difficult to read data from some typed of Database (eg. Access) Review collected by and hosted on G2.com.
Quick to production ML models.
Easy to learn and start delivering.
Great integration with powerful programming languages (Python, Java) .
One stop shop for production ready Data Engineering/Data Analytics and Data Science solutions. Review collected by and hosted on G2.com.
Inbuilt Version control can be a great addition.
Compatibility check for workflows between Client and Server versions can be great for development.
A bit spacious UI for the client application would be appreciated. Review collected by and hosted on G2.com.
The vast number of nodes available in Knime offers excellent flexibility and coverage for almost all types of business challenges. It also provides excellent connectivity and integration with different platforms, a value addition. Review collected by and hosted on G2.com.
Knime requires a lot of configuration for even the most simple excel tasks that are pretty challenging for new users to understand and work with. Apart from this, everything works well. Review collected by and hosted on G2.com.
It provides a great platform for data cleaning without extra hassle, is very easy to use, and data clarity and workflows are very well created. Data can be pulled directly from excel and extracted to excel. Review collected by and hosted on G2.com.
KNIME can also be explored further for extra analytical tools and more manuals can be introduced. Otherwise vast visuals are available which a beginner can also use in their work Review collected by and hosted on G2.com.
