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I don't think that's strictly true.

With cassandra you choose where the extra reads (or writes) to ensure consistency occur as best suits your use case:

* At write time (write quorum) like a traditional replicated datastore

* At read time (read quorum)

* In the background (read one, with a non-zero chance of read repair)

This is quite nice to be able to bend Cassandra on a use case by use case basis (NB: these are not cluster wide approaches, for different columns / circumstances i can choose different patterns).



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