a) Big data is more than just the size of the data. It's about how you treat that data i.e. instead of doing expensive and brittle up-front RDBMS modelling you instead dump it all into a data lake and figure out how to handle the data at run-time. And it is still the standard pattern in almost all companies today.
b) Nobody was choosing MongoDB solely for performance. If it was you would choose some in-memory K/V store. It was about it being the only well supported document store that was also fast and scalable.
That's not how software works. In my experience using mongodb just means that now every single bug in the code creates messed up data for a few months/years and then when that data pops up the software crashes :D
b) Nobody was choosing MongoDB solely for performance. If it was you would choose some in-memory K/V store. It was about it being the only well supported document store that was also fast and scalable.
c) Stripe’s DocDB is an extension of MongoDB Community: https://stripe.com/blog/how-stripes-document-databases-suppo...