Distributed Databases
Distributed data store are non-relational databases that make a quick access to data over a large number of nodes possible. Examples for this kind of data stores are Google's BigTable, which is much more than a distributed file system or a peer-to-peer network, Amazon's Dynamo and Windows Azure Storage.
As the ability of arbitrary querying is not as important as the availability, designers of distributed data stores have increased the latter at an expense of consistency. But the high-speed read/write access results in reduced consistency, as it is not possible to have both consistency, availability, and partition tolerance of the network, as it has been proven by the CAP theorem.
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