RedisGraph GraphBLAS Enabled Graph Database
Pieter Cailliau, Tim Davis, Vijay Gadepally, Jeremy Kepner, Roi, Lipman, Jeffrey Lovitz, Keren Ouaknine

TL;DR
RedisGraph integrates GraphBLAS with Redis to provide a high-performance graph database solution, leveraging sparse matrix operations for efficient graph data management and processing.
Contribution
It introduces a novel approach by combining Redis with GraphBLAS to enhance graph database performance using sparse matrix representations.
Findings
RedisGraph is significantly faster than comparable graph databases.
Utilizes sparse matrices and GraphBLAS for efficient graph processing.
Demonstrates high performance in initial benchmarks.
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.
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