This is something I have noticed while using both of these softwares in my 2 last jobs: EasyMorph is the perfect tool to replace (or modernize) SAS use in an organization. (Way better than replacing SAS with Python or R… come on !)
Let’s be realistic: organizations does not use SAS for statistics purposes but for ETL purposes. Even when it is used by statisticians, most of the time, they connect to data sources, make a lot of transformations (filters, aggregations and calculated columns) on these data by using successive derived tables, and they finally export the result dataset in a format that makes it possible for the business user to consume.
In brief, SAS is used as a dataPrep tool, but at what cost !
From this point of view, EasyMorph can be considered as an easiest, no-code SAS, more modern and with many more (free) connectors. And then, for the few cases where real statistics are involved, the dataset can easily be provided to any free statistics or ML software (R, Knime, etc).
Obviously, when I say that to SAS programmers, there is resistance… SAS programmers are among the most well paid programmers of an organisation. (There is also some glamour into it, for the user as much as his business unit)
But it is what it is…