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depends on your requirements IMO the use case for mongodb in its heyday was great support for schema-less storage, which was perceived as a way to give your te
by awinter-py 7y ago
depends on your requirements
IMO the use case for mongodb in its heyday was great support for schema-less storage, which was perceived as a way to give your team velocity. And also great support for operating a cluster over primary keys.
(The performance story vs SQL is overstated -- a lot of their early benchmarks were from tuning down safety margins like fsync. You can do that in SQL DBs too).
postgres has pretty good json support these days and mysql is getting there (managed mysql tends to lag a version).