So this is just an observation and not a judgment.
With only 4 years of professional experience I have never worked on a MongoDB project in which MongoDB somehow wasn't an issue. The proposed solutions merely being "improve the indices" or "scale the cluster", often without clearly defining what's going on.
So granted I have a very limited experience, it's baffling to me mainly in comparison to the PostgreSQL projects I worked on. They definitely also had problems but these problems were clearly defined even if resolution wasn't quick or easy. It was usually an out-of-date or generally messy schema that was causing issues and folks usually were able to clearly define the schema problems.
With only 4 years of professional experience I have never worked on a MongoDB project in which MongoDB somehow wasn't an issue. The proposed solutions merely being "improve the indices" or "scale the cluster", often without clearly defining what's going on.
So granted I have a very limited experience, it's baffling to me mainly in comparison to the PostgreSQL projects I worked on. They definitely also had problems but these problems were clearly defined even if resolution wasn't quick or easy. It was usually an out-of-date or generally messy schema that was causing issues and folks usually were able to clearly define the schema problems.