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.

In summary, nodes and relationships are an efficient and flexible way to store data since they allow you to: Create traversals in big graphs for both depth and breadth. Scale-up your database to billions of …

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 …

From well-known options like Neo4j and AWS Neptune to newer choices like PuppyGraph, these databases provide distinct strengths in data management, query capabilities, and integration.

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 …

What Is Graph Database? A graph database is defined as a specialized, single-purpose platform for creating and manipulating graphs. Graphs contain nodes, edges, and properties, all of which are …

Graph databases use graph theory principles to structure data, making them ideal for representing highly connected information. By storing data in this format, queries become more intuitive, and …

May 30, 2024 · A graph database (GDB) models data as a combination of nodes (vertices) and edges (relationships) with equal importance. Businesspeople query these structures to reveal patterns and …