A graph database (GDB) is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. [1] A key concept of the system is the graph (or …

Jul 12, 2025 · A graph database (GDB) is a database that uses graph structures for storing data. It uses nodes, edges, and properties instead of tables or documents to represent and store data.

A Neo4j graph database stores data as nodes, relationships, and properties instead of in tables or documents. This means you can organize your data in a similar way as when sketching ideas on a …

Nov 18, 2025 · Graph databases align closely with domains where connections drive value, such as social networks, knowledge graphs, recommendation systems, fraud and risk networks, network and …

Oct 5, 2023 · Explore graph databases with our guide. Learn about their role in managing data relationships, compare them with relational databases, and discover use cases.

Graph databases offer techniques for data integration, linked data, and information sharing. They represent complex metadata or domain concepts in a standardized format and provide rich …

A graph database is a specialized type of database management system that uses graph theory to store, represent, and query data. Unlike traditional relational databases that may struggle with …

This page will walk you through the fundamentals of graph databases, their advantages over traditional databases, common use cases, and good practices for designing an optimal graph schema.

Oct 26, 2025 · Graph databases are datastores optimized for connected data. They store information in a graph model, meaning data points can be queried in relation to their connections with other data …

This is where graph databases emerge as a powerful solution, revolutionizing how we store, query, and analyze interconnected information. A graph database is a specialized database management …