“For example, in a typical siloed situation, different systems such as CRM, supply chain, and manufacturing would not be able to exchange data. Through the use of graph databases, however, it is ...

1. Power system modeling by Relational Database Management System (RDBMS, shown on left) and Graph Database Management System (GDBMS, shown on right).

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 ...

DataStax, a database vendor that delivers a commercial version of Apache Cassandra, is today announcing that it has acquired Graph database vendor Aurelius. Apache Cassandra is the open source ...

Newsela uses Dgraph, a “graph database,” to speed the delivery of content while making it easier for the company’s developers to create new features.

Hence, the impact of an upstream supply disruption isn’t easily traced to a downstream stockout. What’s needed is a system that enables dynamic visibility. Traditionally, supply chains have depended ...

For example, LDBC collaboration has helped drive standardization of the graph data model and query languages. This standardization helps ease the definition of benchmarks and is valuable to users ...

Graph databases that use nodes and properties to represent and store data appear to be making significant inroads in the U.S. retail market. For example, graph database specialist Neo Technology of ...

CUPERTINO, Calif., Nov. 15, 2023 /PRNewswire/ -- We're thrilled to announce that Vesoft for its NebulaGraph, a leading open-source distributed graph database renowned for its exceptional ...

Graph databases have garnered attention for their value in such applications as customer profiling, fraud detection, and recommendation engines. The potential of this market is affirmed by numerous ...