Many business cases exploiting big data have been realised in recent years; Twitter,
LinkedIn, and Facebook are examples of companies in the social networking domain. Other …

The abundance of interconnected data has fueled the design and implementation of graph
generators reproducing real-world linking properties or gauging the effectiveness of graph …

In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph
analysis platforms. It consists of six deterministic algorithms, standard datasets, synthetic …

The Linked Data Benchmark Council's Social Network Benchmark (LDBC SNB) is an effort
intended to test various functionalities of systems used for graph-like data management. For …

Graphs are increasingly used in industry, governance, and science. This has stimulated the
appearance of many and diverse graph-processing platforms. Although platform diversity is …

As analytic (OLAP) applications move to the cloud, DBMSs have shifted from employing a
pure shared-nothing design with locally attached storage to a hybrid design that combines …

NoSQL and especially graph databases are constantly gaining popularity among
developers as they promise to deliver superior performance when handling highly …

Many data processing pipelines operate on highly-connected data sets that can be
efficiently modelled as graphs. These graphs are rarely static, but rather change rapidly and …

In the smart distribution grid, deep integration of power system and information system is the
development direction. In order to effectively excavate the potential value of massive data …

Large graph data management and mining in clouds has become an important issue in
recent times. We propose Acacia which is a distributed graph database engine for scalable …