A graph database stores data as nodes and relationships, prioritizing connections over rigid tables. This structure excels at mapping complex networks—like social links, fraud rings, or supply chains—enabling real-time traversal of interconnected data. Used for recommendation engines and identity detection, it empowers data scientists, fraud analysts, and IT architects to uncover hidden patterns and deliver faster, more intuitive queries than traditional relational systems.
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