I like KNIME’s visual, node-based workflow design and its flexibility to integrate Python and Java when custom logic is needed. It makes complex data processing and automation workflows easier to build, understand, debug, and maintain.

The workflow operation with the ability to create meta-nodes and comment within the workflow. Everything is in one place, allowing complexity to be hidden while remaining accessible. True no-code/low-code with no limits. Perfectly integrates with Big Data tools or industrial models (Kafka, RabbitMQ). Very quick to learn and implement. The integrated AI is a good support, and the available nodes allow for developing powerful models step by step. Completely free with no limitations other than deployment. Quite efficient to replace R or Python scripts, Excel macros. The ability to just copy-paste branches or start a new one from anywhere allows for working along the lines of creativity.

As a Data Engineer, I like KNIME because it makes data workflows simple with its drag-and-drop approach. I use it for data ingestion, cleaning, transformation, joining, and analysis from different sources such as CSVs, databases, and APIs. The visual workflows make it easy to track data flow and identify issues like duplicates or missing data. I also like that I can use SQL or Python when needed, while keeping everything organized in one workflow. Overall, KNIME saves time and makes data engineering tasks easier to manage.