Like other NoSQL databases, a graph database is schema-less. Thus, in terms of performance and flexibility, graph databases hew closer to document databases or key-value stores than they do ...

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.

Graph databases, which explicitly express the connections between nodes, are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. That ...

Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from exper ...

Key Benefits of a Graph Database Better, Faster Queries and Analytics: Graph databases offer superior performance for querying related data, big or small. The graph model offers an inherent indexed ...

Graph databases have been around in one form or another since the early oughts, but they were generally slower, more complex to work with, and more limited in terms of their applicability than ...

Graph databases are all around us, but more often than not are hiding in plain sight. A good example is the Microsoft Graph, which Microsoft characterizes as "the gateway to data and intelligence ...

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 ...

While graph databases can support transactional data with ACID guarantees, data warehouse systems and offline analytical workloads can also be moved into a real-time environment using graph database.

Learn More Graph databases are playing a growing role in improving fraud detection, recommendation engines, lead prioritization, digital twins and old-fashioned analytics.

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 ...

TigerGraph may have done just that for graph databases. Written by George Anadiotis, Contributor Sept. 19, 2017, 5:42 a.m. PT TigerGraph is a new and impressive entry in the graph database world ...