Although traditional relational databases will not be disappearing anytime soon, for a growing set of data-intensive problems, graph-based approaches are still finding a fit, even well after the boom ...

Graph algorithms and processing form the backbone of numerous applications across science and industry, ranging from social network analysis to large-scale data management. The field has evolved to ...

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Google Cloud has updated its fully managed distributed SQL database service Spanner to add graph processing capabilities, dubbed Spanner Graph. The update is expected to help developers build ...

Graph processing at hyperscale has historically been a challenge because of the sheer complexity of algorithms and graph workflows. Alibaba has been tackling this issue via a project called GraphScope ...

Sure, there are graph databases like Neo4j, but graph analysis or graph search may be more useful, depending on the sorts of data relationships you need to explore Graph processing is hot right now in ...

Objectivity, Inc., a provider of data management solutions, has released the first version of its enterprise-ready distributed graph database product, following a successful beta program which began ...

NEW YORK, Nov. 18, 2021Corporation, provider of a next generation computing architecture based on Intel technology for high performance, massively scalable processing of graph analytics, today ...

A technical paper titled “ACTS: A Near-Memory FPGA Graph Processing Framework” was published by researchers at University of Virginia and Samsung. “Despite the high off-chip bandwidth and on-chip ...

Every decade seems to have its database. During the 1990s, the relational database became the principal data environment, its ease of use and tabular arrangement making it a natural for the growing ...