A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

The Graph is an indexing protocol for Web3 applications that organizes blockchain data to make it easily accessible with GraphQL.

Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.

Graph database query languages are growing, along with graph databases. They let developers ask complex questions and find relationships.

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Imagine you could get the entire web in a database, and structure it. Then you would be able to get answers to complex questions in seconds by querying, rather than searching. This is what Diffbot ...

Graph data promises a more structured approach to organizing raw data streams. Traditionally these have required an additional step after operational data has been collected into high performance ...

Emerging graph database benchmarks are already helping to overcome performance, scalability and reliability issues.

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. At Data Summit 2023, Joseph Hilger, COO, Enterprise Knowledge LLC ...