Additionally, a graph database is a database that represents and stores data using graph layouts for semantic queries with edges, nodes, and properties. The graph is an important notion in the ...

Graph representation provides insightful views of data – linking features and providing a view into data connectedness based on data nodes (also known as vertices) that are connected via edges ...

At the recent NODES Developer Expo and Summit sponsored by Neo4j, a leading vendor of graph database software, I spoke with Dr. Jim Webber, the Chief Data Scientist at Neo4j about future hardware ...

A graph database is different from a traditional relational database in how it is structured. Instead of using rows and tables to organize data, a graph database has nodes and edges to build out a ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

The graph database is created using a graph database management system (DBMS) like Neo4j. The Cypher query generated in step 3 is ingested into the DBMS, which creates the nodes and edges in the ...

A property graph database, such as Neo4j’s, is an extreme example of a structured data store. The node-and-edge graph structure excels at helping users to explore knowledge about entities (defined as ...

Today, Neo4j’s software enables companies to build, orchestrate, and deploy graph databases. Like other graph databases, Neo4j’s store data as nodes, relationships, and properties.