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<p>
Among others, the following are some typical use cases where dbstl
would be prefered over C++ STL:
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Working with a large amount of data, more than can
reside in memory. Using C++ STL would force a number
of page swaps, which will degrade performance. When
using dbstl, data is stored in a database and Berkeley
DB ensures the needed data is in memory, so that the
overall performance of the machine is not slowed down.
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Familiar Interface. dbstl provides a familiar
interface to Berkeley DB, hiding the marshalling and
unmashalling details and automatically managing
Berkeley DB structures and objects.
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Transaction semantics. dbstl provides the ACID
properties (or a subset of the ACID properties) in
addition to supporting all of the STL functionality.
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Concurrent access. Few (if any) existing C++ STL
implementations support reading/writing to the same
container concurrently, dbstl does.
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Object persistence. dbstl allows your application
to store objects in a database, and use the objects
across different runs of your application. dbstl is
capable of storing complicated objects which are not
located in a contiguous chunk of memory, with some
user configurations.
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