Persistence EdgeXtend for C Plus Plus 8.542

Persistence EdgeXtend for C Plus Plus 8.542
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Persistence. EdgeXtend. for C++ provides development
tools and runtime APIs that solve data access
problems, increase developer productivity, reduce
cost of deployment, and increase performance for
enterprise applications.

In a typical enterprise application, the task of
mapping objects to relational data and database access
in general accounts for an estimated 30 of the effort
involved. EdgeXtend tools relieve you of this effort
by allowing you to flexibly map the database schem
application objects.

With EdgeXtend, you can define complex mappings and
hierarchies that allow you to get the most out of both
your application and your database. From this
definition, the tools generate database mapping
classes, boosting developer productivity. The mapping
classes allow application objects to transparently
access and update relational data, and take advantage
of EdgeXtends highly sophisticated caching to provide
high performance and scalability.

Numerous products improve application performance by
caching persistent data to avoid expensive database
access. Some developers choose to implement their own.
However, these caching services work best with
read only or predictably changing data, such as static
content. When data changes predictably, an application
can easily refresh the cache periodically to ensure
that all clients have accurate information. But when
data changes unpredictably, the burden falls on the
developer to synchronize data.

The difficulty of synchronizing data increases
exponentially as application servers are replicated or
clustered to support more clients, load balancing, or
failover. Uniquely, EdgeXtend ensures the freshness of
distributed data in the face of unpredictable changes.
It does this with its cache synchronization service
that transparently communicates persistent data
updates to all servers that are caching that data.
Cache synchronization also supports nearly
instantaneous failover. If one server goes down, you
can redirect client requests to another, and that
server can respond from its cached data.

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