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In addition, both data stores are managed services, which make them especially suitable for scenarios where the users want to avoid the cost and complexity of managing a data store.
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NoSQL data stores are sometimes referred as BASE systems (Basically Available, Soft state, Eventually consistent) [25].
Some sectors have legal requirements that physical data stores are in particular geographical jurisdictions.
Similarly, key-value data stores are useful in content providing applications.
Key-value data stores are also suitable for object caching, especially in-memory implementations.
Many NoSQL data stores are aimed towards highly distributed scenarios, and consider partition tolerance as unavoidable.
But personal data isn't gold, and personal data stores aren't Fort Knox.
Linking source adaptors to their data stores are generic transport helpers which are responsible for handling data acquisition (Fig. 1).
Enterprise-level data architectures ensure that the disintegration of integrated data stores is minimized.
Accessing the data stores is clumsy at best.
On the other hand, if one (or both) of the partitions accepts write requests, the data store is available, but potentially inconsistent.
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