I use KNIME Software as an open-source, low-code platform to build visual drag-and-drop data pipelines, allowing us to automate complex data preparation and modeling workflows without needing to write code, while still giving us the flexibility to script in Python or R for custom logic. I really like how it bridges the technical gap by letting business analysts visually construct complex data and machine learning pipelines without writing SQL or Python code. The node-based layout acts as a self-documenting flowchart, making it easy to audit, debug, and explain workflows to stakeholders. I love KNIME's massive open-source library of pre-built nodes, which makes blending different tools like Python, SQL, and Excel on a single canvas seamless. The intuitive traffic-light node status indicators make testing and debugging visual workflows easy and eliminate the guesswork by providing instant, node-by-node feedback on pipeline issues. Additionally, the library acts as an app store for data, allowing us to connect legacy files to modern AI models with just a drag-and-drop node instead of writing custom API integration code. The initial setup was easy and friction-free. Review collected by and hosted on G2.com.

I find KNIME Software to be an absolute memory hog, frequently crashing on large datasets due to its aggressive step-by-step caching. Configuring its clunky Python integrations is notoriously painful. Additionally, complex business logic quickly transforms workflows into a chaotic spaghetti of nodes that are highly disorienting to navigate and organize. Review collected by and hosted on G2.com.

What I love most about KNIME is its intuitive, drag-and-drop visual workflow interface. It allows me to build complex data cleaning pipelines and machine learning models without needing to write extensive code, which saves me hours of manual work every week. Review collected by and hosted on G2.com.

While the visual workflow is great, large and complex pipelines can quickly become messy and difficult to navigate. The user interface, while functional, feels a bit dated compared to modern web-based data tools, and it can sometimes take too many clicks to find specific configuration settings within a node. Review collected by and hosted on G2.com.

The desktop software is free making it accessible and compliant with many environments which restrict cloud access. The community and company are very supportive for knowledge sharing, and the cloud services and plans provide tremendous value. Review collected by and hosted on G2.com.

It is actually hard to find anything to dislike! There could be tiny UI/UX enhancements and features, such as wireless node connectors. Review collected by and hosted on G2.com.

I mainly use KNIME Software for school projects, and I love its ease of use and the ability to point and click for everything we used. The tools available by clicking nodes and exploring different ways to analyze data are amazing. The initial setup was very easy with a fast install. I rate it a 10 out of 10 because I loved it. Review collected by and hosted on G2.com.

The software was easy to use but takes a bit of a learning curve to get used to. Review collected by and hosted on G2.com.

If you have an idea or program algorithm in your mind, Knime is the easiest way to build it.

Because it’s module‑based, debugging is easy, and it provides the ability to use various tools and programming languages such as Python, Java, and others. Review collected by and hosted on G2.com.

It doesn't work with GPU

You have to pay to access the some features Review collected by and hosted on G2.com.

The most helpful feature of KNIME for me is its no-code/low-code approach. This enables me to create compelx workflows without scripting. The entry hurdle for 'citizen data science/analytics' is very low Review collected by and hosted on G2.com.

Sometimes it is just this one specific functionality you miss, as there is not a node available. Also, being a life scientist by training, the original science base seems to be dwindling away, with more finance use cases being in focus Review collected by and hosted on G2.com.

I really appreciate the ability to use KNIME Software, which empowers users by allowing them to understand and confidently leverage the software. The prototyping capabilities and the way it enables users to create workflows and explore data are great. The setup was quite easy, which is always a plus. I also give it a high recommendation, rating it a 10 out of 10 for recommending it to others. Review collected by and hosted on G2.com.

I find that enabling business users who are not technology savvy to build what is required and to get insights from data could be improved. It seems centered around business intelligence, which might not be ideal for everyone. Review collected by and hosted on G2.com.

Documentation, the way that KNIME is easy and related to help people develop and understand about the use. Review collected by and hosted on G2.com.

For not have an approach of new updates to our community, if a node change community did not participate in this process Review collected by and hosted on G2.com.

I like that KNIME Software is easy to use and can intake any type of data, which makes it versatile for analyzing trends and tracking client retention. I also appreciate the great visualization of data that KNIME Software provides. Review collected by and hosted on G2.com.

Nothing Review collected by and hosted on G2.com.

I find it useful for creating workflows, it's like using draw.io and Excel. Its versatility in sources is remarkable; I'm just starting to use it, but the nodes I've used are quite interesting. The aspect of cleaning and grouping subprocesses is great. The initial setup was easy. Review collected by and hosted on G2.com.

Well, I have had a problem if I change PCs to view the streams. Review collected by and hosted on G2.com.