My own experience chimes with this somewhat, having used MongoDB on my last project - quite often application data storage requirements are relatively trivial - and it is a boon to do away with the ORM layer and be able to vary any given object schema without touching the database (although in practice a .js data migration script may be involved, so this is moot). As a sidenote local cultural issue, the fact that we can operate the MongoDB servers ourselves, whereas RDBMS instances are with a central team and buried under a layer of bureaucracy was also probably an operational consideration.
When it comes to joins, these have lately been added to MongoDB, as has SQL - although the functionality is still rudimentary compared to a mature RDBMS.
But where we experienced pain was when the business decided they wanted to do live reporting. We ended up piping the data into a SQL Server instance and using SSRS.
When it comes to joins, these have lately been added to MongoDB, as has SQL - although the functionality is still rudimentary compared to a mature RDBMS.
But where we experienced pain was when the business decided they wanted to do live reporting. We ended up piping the data into a SQL Server instance and using SSRS.