Non-volatile memory express. Graph databases are increasingly using the Non-Volatile Memory Express standard for Solid State Drives to increase application performance and significantly reduce ...

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 ...

In this paper we present imGraph, a graph system that addresses the challenge of efficient processing of large graphs by using a distributed in-memory storage. We use this type of storage to obtain ...

In-memory databases have changed the way that businesses operate -- taking the enterprise from static to intelligent. In the future, we only anticipate more change at greater speeds. Organizations ...

Graph databases have moved from a topic of academic study into the mainstream of information technology in the last few years. Now CIOs are confronted with the need to better understand: What ...

Graph databases excel at answering complex questions about relationships in large data sets. ... We don’t describe TigerGraph as an in-memory database, ...

Co-authors: Scott Meyer, Andrew Carter, and Andrew Rodriguez Editor’s note: This is the second part of a two-part blog series. Part 1 described how graph data relates to the in-memory graph of ...