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Synergistic graph and SQL analytics inside IBM Db2
2019
Proceedings of the VLDB Endowment
To meet the challenge of analyzing rapidly growing graph and network data created by modern applications, a large number of specialized graph databases have emerged, such as Neo4j, JanusGraph, and Sqlg. At the same time, RDBMSs and SQL continue to support mission-critical business analytics. However, real-life analytical applications seldom contain only one type of analytics. They are often made of heterogeneous workloads, including SQL, machine learning, graph, and other analytics. In
doi:10.14778/3352063.3352065
fatcat:o3z57sctrnfv5bahwty3r2k6oi