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.

Graph is a data model that has long lingered on the fringe of mainstream adoption. But that is changing, as graph lends itself well to representing many real world problems, and the technology is ...

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 ...

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

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 ...

Getting Your Data Graph-Ready After deciding on the technology and the key operational and logistical questions you want to answer with graph, your next step is to build a graph data model.

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 ...

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 ...

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.

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 ...