A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

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.

TigerGraph architecture. As we can see in the block diagram below, TigerGraph has an ETL loader (left), graph storage and processing engines with query language and visual clients as well as a ...

DSE Graph architecture. This diagram pre-dates the DSE 6.8 preview, but it’s essentially correct. ... Nevertheless, it’s worth putting DataStax on your evaluation list for graph databases.

Graph databases map relationships between entities in a network. They won’t replace conventional relational databases, but for harnessing the value of interconnectedness they mark a breakthrough ...

Image: Linking Open Data cloud diagram 2017, by Andrejs Abele, John P. McCrae, Paul Buitelaar, Anja Jentzsch, ... keeping only Neo4j and the top 5 RDF graph databases. For Momtchev: ...

Microsoft's annual internal TechFest research showcase kicks off on March 6. So what better time to check out Trinity, a graph database research project, from Microsoft Research?

Other graph database providers in the market are Neo4J, Cassandra, ArangoDB, OrientDB, FlockDB, Titan, Amazon Neptune, IBM Graph, Apache Giraph and Azure Cosmos. No Server Setup Needed.