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Efficient Relationship Handling with Graph Databases

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  • Direct relationship storage allows graph databases to handle complex, relationship-based queries with ease, avoiding the need for multiple joins as in RDBMS.
  • Pathfinding and traversal operations are highly optimized, making graph databases ideal for applications where data relationships are central, such as social networks, recommendation engines, and fraud detection.
  • Index-free adjacency ensures that each node directly references its connected nodes, enabling rapid access and reducing lookup times, even in large datasets.
  • By streamlining query execution, graph databases deliver speed and efficiency for complex analyses, outperforming traditional databases in relationship-centric use cases.

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