Spanner started being experimentally evaluated under production workloads in early 2011, as part of a rewrite of Google's advertising back-end called F1.
Applications can use Spanner for high availability, even in the face of wide-area natural disasters, by replicating their data within or even across continents.
Spanner borrows techniques from some of the other massive software platforms Google built for its data centers, but at its heart is something completely new.
Right now, Cloud Spanner instances can only exist in one of Google's cloud regions, though they will be replicated across multiple availability zones inside those regions.
Megastore, Spanner, and F1 do provide strong consistency across geo-replicated data, but they do not support the peak update throughput needed by Mesa clients.
Spanner exposes the following set of data features to applications: a data model based on schematized semi-relational tables, a query language, and general-purpose transactions.
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