Data Fusion - High Performance with Trees and Networks of Objects
Data Fusion - integrating complex data from multiple sources
High Performance with Trees and Networks of Objects
High performance is critical in data correlation applications. The object models are often highly complex tree or network structures. Object models expressed in UML can be imported into Objectivity/DB via tools such as Rational ROSE and ROSElink for Objectivity. XML models (and data) can be imported and exported with Objectivity tools, making it easier to move metadata and data between disparate systems. Objectivity/DB can directly represent and manipulate standard C++ and Java collection classes, such as trees, sets and lists. The Scalable Collection Classes are a standard part of the C++ and Java APIs. Objectivity/DB also supports persistent versions of the C++ Standard Template Library collections.
