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 ...

One of the best-known graph databases is Neo4j, which recently announced support for the enterprise version of its cloud-hosted service, Aura, on Azure.Available in the Azure Marketplace, it’s a ...

We don’t describe TigerGraph as an in-memory database, because having data in memory is a preference but not a requirement. Users can set parameters that specify how much of the available memory ...

The in-memory-property-aware-temporal-graph project team welcomes contributions from the community. Before you start working with in-memory-property-aware-temporal-graph, please read our Developer ...

Diverse applications including cyber security, social networks, protein networks, recommendation systems or citation networks work with inherently graph-structured data. The graphs modeling the data ...

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 ...

It acts as an in-memory graph database. It is meant to be used for small graphs (a few hundred nodes) Graph format. Graphs are written as a collection of edges and vertices. A vertex is written as ...

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 ...