Distributed data store: Difference between revisions

Revision as of 13:52, 18 September 2019

Revision as of 18:20, 21 November 2019

Line 29:

| quote = Dynamo: a highly available and scalable distributed data store

| url = http://www.cs.uwaterloo.ca/~kdaudjee/courses/cs848/slides/sarah1.pdf}}</ref>

and [[Azure Services Platform|WindowsMicrosoft Azure Storage]].<ref>{{cite web|url=http://www.microsoft.com/windowsazure/features/storage/|title=Windows Azure Storage|date=2011-09-16|accessdate=6 November 2011|url-status=dead|archiveurl=https://web.archive.org/web/20111109002826/http://www.microsoft.com/windowsazure/features/storage/|archivedate=9 November 2011}}</ref>

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 (database systems)|consistency]], availability, and partition tolerance of the network, as it has been proven by the [[CAP theorem]].