You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

A graph database also has “edges” that connect the nodes and properties, defining the relationship between them. The value is derived when analyzing the patterns between the nodes and the ...

GraphStudio can map data stored in local files into the graph schema, using a drag-and-drop GUI. The same ease of use is now available for AWS users who have data in their S3 files.

Retrieving data in graph form is complicated, so Facebook created an open-source data-query language, GraphQL, specifically for that purpose.

In a graph database, similar pieces of data are connected directly to one another through common attributes. Relationships are “first-class citizens” in graph databases, unlike in relational databases ...

Cosmos DB’s graph database uses Gremlin, which is the graph traversal language of Apache TinkerPop. AnzoGraph uses W3C-standard RDF triple and quad data and SPARQL 1.1 queries.

Graph database company Neo4j wants to move beyond providing only its graph database, and is working on what it calls a 'graph platform' to help companies make the most of their data. ZDNet ...

Neo4j is the leader in the burgeoning graph database market, with 17 years in development and thousands of open source users. But the database has a hard limit in terms of scalability, since it ...

Graph database startup TigerGraph Inc. today announced a major update to its flagship cloud platform with the Savanna release, bringing with it six times faster network deployments and dozens of ...

Graphic: Know.bi Last year when the Panama Papers revealed how the wealthy have used tax havens to shelter vast sums of money, the technology of graph database company Neo4j played a key role in ...