Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it ...

Knowledge Graphs are quickly being adopted because they have the advantages of linking and analyzing vast amounts of interconnected data. The promise of graph technology has been there for a decade.

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.

The graph database is popular with social networks, but there's no reason to limit it to tracking people and their friendships.

AWS is launching a serverless flavor of its Neptune graph database service that abstracts away managing compute capacity.

Graph database startup Neo4j raised $320 million at an over $2 billion valuation, highlighting the value of graph databases.

Graph-powered machine learning and analytics are enabling unprecedented benefits, Victor Lee, head of product strategy and developer relations at TigerGraph, who cited Gartner's statement that 'Graph ...