Sikta RoyKnowledge Contributor
How does graph database technology differ from traditional relational databases, and what are its practical applications?
How does graph database technology differ from traditional relational databases, and what are its practical applications?
Graph databases store and query data as nodes, edges, and properties, enabling efficient representation and traversal of complex relationships and networks. Unlike traditional relational databases, which use tables and joins, graph databases use graph-based structures (e.g., property graphs or RDF graphs) and query languages (e.g., Cypher or SPARQL) to model and query connected data. Practical applications of graph databases include social networks, recommendation systems, fraud detection, network analysis, and knowledge graphs.