Graph database query languages are special-purpose languages that allow you to express queries on graph data. Graph data consists of nodes, which represent entities, and edges, which represent ...

The assorted graph database query languages include the likes of Gremlin, Cypher, and GQL and serve to unpack the information inside graphs. All databases need a way to talk with their clients ...

Neptune supports two of the most popular open source graph query languages, Apache TinkerPop Gremlin and W3C SPARQL. Neptune database clusters ... learn a more natural way to model complex ...

A graph database can help you discover connections ... that the vertices and edges introduced along the way can work as intended. To improve query performance and prevent Gremlin query code ...

The best way to learn and master a new graph query ... and AI To learn and master a new graph database query language, start by understanding its foundational concepts and how it represents ...

Graph databases are the fastest-growing category in all of data management. Graph databases have evolved into a mainstream technology that has been successfully implemented by organizations in ...

Proponents claim graph is the most natural way to model the world ... what's going on is that we have a war for graph database domination, and query language is a key battle to be won.

Graph data stores can efficiently model, explore and query data with complex ... in a new way. The way we structure information in our minds and in our database structures is changing.

Aerospike this week rolled out new graph database offering that leverages open source components, including the TinkerPop graph engine and the Gremlin graph query language. The NoSQL company foresees ...