Perhaps, but the description essentially said that there is a custom python layer that aggregates the data, and they punt it into MongoDB with some SQL extraction pattern simply to store it into that silo.
e.g. If I run a query for NAME LIKE 'BLAH%' it stores that resultset. If I run NAME LIKE 'BLAP%' it stores that resultset. If someone else comes and runs either of them, only a direct match will pull my prior results.
e.g. If I run a query for NAME LIKE 'BLAH%' it stores that resultset. If I run NAME LIKE 'BLAP%' it stores that resultset. If someone else comes and runs either of them, only a direct match will pull my prior results.
It's okay, but it's no big win or case study.