True, using a library to hide the limitations of a DB smells bad. It is fixing the problem in the wrong location.
I may have misread your comment but rarely do more than one client application access a database. Especially in today's often Microservices architecture. So using a library as mentioned is fine. And as the app evolves/gets rewritten you can keep the library or replace it with a similar one.
Over 10+ years ago I did join a few projects with existing architecture that had evolved to multiple applications accessing the same database. And they were a nightmare but that is rare to encounter these days as most people have learned that one app = one DB. (Data warehousing is a possible exception, but mostly those datasets are exported instead as well as streams for machine learning).
Probably preaching to the choir but multiple clients mean feature freeze/deadlock, no DB refactoring and spaghetti architecture.
I may have misread your comment but rarely do more than one client application access a database. Especially in today's often Microservices architecture. So using a library as mentioned is fine. And as the app evolves/gets rewritten you can keep the library or replace it with a similar one.
Over 10+ years ago I did join a few projects with existing architecture that had evolved to multiple applications accessing the same database. And they were a nightmare but that is rare to encounter these days as most people have learned that one app = one DB. (Data warehousing is a possible exception, but mostly those datasets are exported instead as well as streams for machine learning).
Probably preaching to the choir but multiple clients mean feature freeze/deadlock, no DB refactoring and spaghetti architecture.