Victor Lee is director of product management at TigerGraph. Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both ...

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.

Real-time database vendor Aerospike is expanding its multi-model capabilities with the launch of the Aerospike Graph database. Aerospike got its start back in 2009, providing a NoSQL database that ...

Neo4j, the premiere graph database development platform, announced the release of version 4.0 today, which features unlimited scaling among other updates.

One technology experiencing a kind of renaissance is the graph database, which has existed for years but is finding new relevance in current cybersecurity contexts.

Not all databases are created equal. In this video, we explore seven major database paradigms, including relational, key-value, document, columnar, graph, time-series, and object-oriented. Learn ...

Graph databases have proved their worth with the technology being used to analyse the Panama Papers. The recent data leak from the Panamanian law firm Mossack Fonseca has captured the imaginations ...

Facebook reaches Social Graph database benchmark: Facebook engineers discuss the development processes behind LinkBench, and how it’s being used at the world's largest social network today.

The graph database is experiencing a surge in popularity, thanks to all of the above. This type of database, which uses graph structures for semantic queries with nodes, edges and properties to ...

In this article, I explain why the first app built on a knowledge graph should be an enterprise data catalog. I then clarify why any catalog equipped to grow, scale, and evolve with the modern data ...