Knime Use Cases

Hi everyone, I am trying to understand what are the main use cases for Knime. What problems does it help solving? What it can do that other tools can’t. Are there alternatives?

The reason I am asking - I was asked to evaluate if my company needs Knime (someone from leadership have heard of the tool in the conference). Hence I am here collecting facts.

So far, after little research, my understanding is as follows. Knime is:

• Business users / non-developer friendly ETL tool: Alternatives would be enterprise ETL tools like SSIS, Talend, IBM Data Stage. Or data prep inbuilt within Tableau or Power BI (provided you don’t need to write data back to DBs)

• Business users friendly statistical modelling tool that otherwise would require descent R/Python/SQL experience. Alternatives would be SAS, Mathlab, R/Python IDEs

• Environment to run ML jobs (from data prep, to model training). Alternatives would be Databricks, R/Python IDEs, Jupyter notebooks.

• Viz and Data Analysis tool. Alternatives would be Power BI / Tableau, Etc.

Have a missed a functionality/use case?

Alternatives to Knime itself would be Alteryx. Any other close contenders?

Thank you so much guys!!