A graph database stores data in nodes and edges, representing relationships directly rather than through foreign keys. It excels at mapping complex connections, making it ideal for social networks, fraud detection, and recommendation engines. Developers, data scientists, and businesses managing highly interconnected data benefit from its speed and flexibility in querying relationships. This structure simplifies modeling real-world networks.
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