Suggested Answer:
A graph database stores two types of information, nodes and edges. Edges specify relationships between nodes. Nodes and edges can have properties that provide information about that node or edge, similar to columns in a table. Edges can also have a direction indicating the nature of the relationship. Reference: https://docs.microsoft.com/en-us/azure/architecture/guide/technology-choices/data-store-overview
The correct answer is:
Graph databases.
Graph databases natively support the analysis of relationships between entities. They are specifically designed to handle complex relationships and queries about how data is connected. The structure of a graph database, consisting of nodes and edges, makes it ideal for analyzing relationships and connections between entities.
"A graph database stores two types of information, nodes and edges. Edges specify relationships between nodes. Nodes and edges can have properties that provide information about that node or edge, similar to columns in a table. Edges can also have a direction indicating the nature of the relationship."
https://learn.microsoft.com/en-us/azure/architecture/guide/technology-choices/data-store-overview
They're all RDS, but only graph supports analysis of relationship between entities
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