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 ...

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 ...

Create and manipulate vertices and edges quickly using a simple API. Below is an example of how to create a graph, add vertices and edges, perform queries, and manage persistence. There is also basic ...

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 ...

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 ...

Big Data and in-memory computing have been around for years but are relatively new trends when compared to more traditional data-related technologies such as relational database management systems ...

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 ...

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 ...

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 ...