Definition · databases
Graph database
Graph database is a database that stores data as nodes and edges to represent entities and their relationships, optimized for traversing connections. For graph database, a useful definition states a database that stores data as nodes and edges to represent entities and their relationships, optimized for traversing, who owns it, and which decision it supports.
Also known as graph DBMS, graph data store
Why it matters
Understanding graph database matters because leaders need a shared, source-backed meaning before they can compare results, explain performance, or decide what to do next. Pluvo stores its financial ontology as a graph of entities and relationships rather than rows in isolation, which is what lets it answer questions that span many connected systems.
In practice
Operating example
Graph database is useful when teams need a shared interpretation of a database that stores data as nodes and edges to represent entities and their relationships, optimized for traversing connections. The definition should make source data, timing, ownership, and the decision it supports explicit.
Pluvo example
Pluvo stores its financial ontology as a graph of entities and relationships rather than rows in isolation, which is what lets it answer questions that span many connected systems.
In practice, teams should define graph database with a clear source, owner, time period, and decision before they use it in reporting, planning, or operating reviews.
Understanding graph database matters because leaders need a shared, source-backed meaning before they can compare results, explain performance, or decide what to do next. Pluvo stores its financial ontology as a graph of entities and relationships rather than rows in isolation, which is what lets it answer questions that span many connected systems.
A strong workflow for graph database separates the definition from the action: first agree what the term means, then decide how it is measured, when it changes, and who is accountable for the next step.
Pluvo stores its financial ontology as a graph of entities and relationships rather than rows in isolation, which is what lets it answer questions that span many connected systems.
FAQ
What is a graph database?
Graph database is a database that stores data as nodes and edges to represent entities and their relationships, optimized for traversing connections. For graph database, a useful definition states a database that stores data as nodes and edges to represent entities and their relationships, optimized for traversing, who owns it, and which decision it supports.
When should you use a graph database?
To use graph database, start with the decision, then confirm the source data, timing, calculation logic, and owner. The analysis is strongest when a reviewer can trace the answer back to the records that produced it.
What is the difference between a graph database and a knowledge graph?
The boundary for graph database differs from related terms by scope, source data, time period, and decision use. In this glossary, it covers a database that stores data as nodes and edges to represent entities and their relationships, optimized for traversing connections, so teams should compare those boundaries before using it in reporting or planning.