The graph database was originally designed to store networks — that is, the connections between several elements such as people, places they might visit, or the things they might use. Relational databases can find single connections between them, but they get bogged down when asked to negotiate and analyze complex relationships between multiple parties.
The graph database shines when asked to search through the networks defined by these connections. They have specialized algorithms for compiling the layers of relationships that radiate out from one entry.
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