Graph

¹ChatGPT:

The graph data model represents data as a network of interconnected nodes and edges. It is ideal for modeling complex relationships and associations. The two primary components are:

• Nodes: Represent entities or objects (e.g., people, products, locations).
• Edges: Represent relationships or connections between nodes (e.g., “FRIEND_OF,” “PURCHASED”).
• Properties: Attributes attached to nodes or edges to store additional data (e.g., name, age, date).

This model allows for intuitive representation of data like social networks, recommendation systems, and supply chains.

• Neo4j