Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time.
What I like most about KNIME is that it's user-friendly. It's a low-code, no-code tool, so students don't need coding knowledge. You can make use of different kinds of nodes. KNIME even has a good description of each node.
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.
It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured.
The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes.
KNIME is an open-source analytics software used for creating data science that is built on a GUI based workflow, eliminating the need to know code. The solution has an inherent modular workflow approach that documents and stores the analysis process in the same order it was conceived and implemented, while ensuring that intermediate results are always available.
KNIME supports Windows, Linux, and Mac operating systems and is suitable for enterprises of all different sizes. With KNIME,...
Since KNIME is a no-code platform, it is easy to work with.
I've never had any problems with stability.
KNIME is easy to learn.
The most valuable is the ability to seamlessly connect operators without the need for extensive programming.
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.
It is a stable solution...It is a scalable solution.
Stability is excellent. I would give it a nine out of ten.
I've tried to utilize KNIME to the fullest extent possible to replace Excel.
There are a lot of connectors available in KNIME.
I would rate the stability of KNIME a ten out of ten.
We can deploy the solution in a cluster as well.
Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time.
What I like most about KNIME is that it's user-friendly. It's a low-code, no-code tool, so students don't need coding knowledge. You can make use of different kinds of nodes. KNIME even has a good description of each node.
It's a very powerful and simple tool to use.
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.
Easy to use, stable, and powerful.
We have found KNIME valuable when it comes to its visualization.
Overall KNIME serves its purpose and does a good job.
It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript.
It's a huge tool with machine learning features as well.
KNIME is fast and the visualization provides a lot of clarity. It clarifies your thinking because you can see what's going on with your data.
It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured.
I was able to apply basic algorithms through just dragging and dropping.
The solution is good for teaching, since there is no need to code.
The product is open-source and therefore free to use.
The most valuable feature is the data wrangling, which is what I mainly use it for.
It is very fast to develop solutions.
From a user-friendliness perspective, it's a great tool.
What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.
All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function.
This solution is easy to use and it can be used to create any kind of model.
It's a coding-less opportunity to use AI. This is the major value for me.
The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes.
This open-source product can compete with category leaders in ELT software.
This solution is easy to use and especially good at data preparation and wrapping.
It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop.