KNIME stands out as a truly versatile open-source platform that empowers users to perform complex data analysis and develop AI solutions without writing code. Its visual workflow interface significantly lowers the barrier for non-programmers while still providing advanced extensibility for experts. KNIME integrates well with Python, R, and popular machine learning libraries, enabling seamless end-to-end development from data preparation to model deployment. The platform’s community, extensible ecosystem, and commitment to openness make it an invaluable tool for data professionals across industries Review collected by and hosted on G2.com.

While KNIME provides powerful functionality, the initial learning curve can be challenging for users unfamiliar with data science concepts or visual programming. Some integrations, especially with external APIs or cloud services, may require additional configuration or third-party extensions. Nonetheless, the documentation and community support largely mitigate these limitations. Review collected by and hosted on G2.com.

The great benefit that the cooperation between the two countries had in the world in order to achieve strategic goals that work on developing joint cooperation between the countries of the world. Review collected by and hosted on G2.com.

There was nothing to indicate the existence of some countries that still live in the field. Review collected by and hosted on G2.com.

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.

The nodes which are simple use which used to built a workflow for achieving an objective. This was helpful as user need not be a coder or highly technical person use knime Review collected by and hosted on G2.com.

So far used, only limitation i faced was memory availability issues 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.