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arXiv:1905.01294cs.DB

RedisGraph GraphBLAS Enabled Graph Database

Pieter Cailliau, Tim Davis, Vijay Gadepally, Jeremy Kepner, Roi Lipman, Jeffrey Lovitz, Keren Ouaknine

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Abstract

RedisGraph is a Redis module developed by Redis Labs to add graph database functionality to the Redis database. RedisGraph represents connected data as adjacency matrices. By representing the data as sparse matrices and employing the power of GraphBLAS (a highly optimized library for sparse matrix operations), RedisGraph delivers a fast and efficient way to store, manage and process graphs. Initial benchmarks indicate that RedisGraph is significantly faster than comparable graph databases.

arXiv comments
Accepted to IEEE IPDPS 2019 GrAPL workshop
Journal reference
DOI
doi:10.1109/IPDPSW.2019.00054
Subjects
cs.DBDatabases cs.PFPerformance

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  1. GraphBLAS – Graph algorithms in the language of linear algebra 1 comment

    • RedisGraph uses GraphBLAS: https://github.com/RedisGraph/RedisGraph/ Their paper claims that computing with adjacency (sparse) matrices is more performant than alternatives: https://arxiv.org/pdf/1905.01294.pdf They compile queries written in Cypher (Neo4j's language) to…

      chrisaycockView on HNParent context

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