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IMO you can't generalize every problem domain by specifying schema first approach.

I developed a real time analytic solution where the system was suppose to receive unstructured web data. And each client of system can send any type of data & generate unlimited number of reports with unlimited number of fields and all of this in real time. When I say real time, I literally mean all processing was supposed to be done in sub-second. Above all the size of data was 100s of GBs every day. None of RDBMS would have modeled this problem with the efficiency like MongoDB did.

Most of the web related things like analytics, CMS systems or when you need high performance and horizontal scalability, its hard to beat Document DBs like MongoDB.




I found it to really suck with horizontal scalability and high performance. We are paying 3k per month for mongo hosting because its such a pain to manage and it performs so poorly at just 150gb of data that we need 3 shards which I find incredibly ridiculous. I would pick postgres tables with JSON fields over mongo any day of the week.




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