EP-Hydra evolves with the ability to work with data connected to a graph database. Alongside traditional data models, the new release supports scenarios where connections, dependencies and paths between information are central to the analysis.
Why a graph database
Relational models organize information primarily in tables. A graph database instead puts entities and relationships at the center, providing a direct way to represent networks of strongly connected objects.
For EP-Hydra, this means extending data management to cases where understanding how an element is connected to others is as important as the element itself.
Key strengths of the new release
Connected-data navigation. Graph models facilitate exploration of paths between entities and provide a relational view of context.
Greater flexibility. Structures with many relationship types can be modeled without forcing them exclusively into traditional tabular schemas.
New analytical scenarios. Graph-database connectivity opens EP-Hydra to use cases where links, dependencies, hierarchies and networks are an important part of the information.
Integration. Graph databases extend EP-Hydra's data-management options, broadening architectural possibilities without tying the product to a single data model.
From records to connections
The new release strengthens EP-Hydra as a component for managing structured information and related processes. Where appropriate, data can be understood not only as records but as a network of relationships that can be queried and used by applications.