If new features are implemented as 'composable' algorithms, meaning that they: a) can be used, optionally b) can be composed with each other into new data pro

If new features are implemented as 'composable' algorithms, meaning that they: a) can be used, optionally b) can be composed with each other into new data processing (eg filtering/aggregation) models c) did not reduce, significantly complicate, or create many 'exception rules', to otherwise a coherent model Then those are good additions, in my view. Also, I personally found, useful about Redis is its protocol. It is a very useful and poweful paradigm when different systems by different authors/companies implement same protocol. It reduces cognitive overload on users (programmers) and helps to continue building their domain expertise, rather than constantly re-learing APIs of tools or libraries. So work on RESP3, in my view, is very welcomed.