Daily Term: Graph Database

Graph Database

A Graph Database stores data as nodes (entities) and edges (relationships) to efficiently model and query complex relationships. For example, in a social network, nodes might represent users, and edges might represent friendships. Tools like Neo4j excel in use cases like recommendation systems or fraud detection, where relationships are key. Graph databases offer fast traversal of relationships but can be less efficient for large-scale, non-relational queries.

Date: 2025-06-24