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Fast In-Memory SQL Analytics on Typed Graphs

Summary: GQ-Fast: in-memory, compiled graph analytics for typed graphs, supporting relationship queries on annotated adjacency lists. Bottom-up pipelining, dense compression, and code-generated plans avoid intermediate row IDs, delivering 2–4 and 1–3 orders of magnitude speedups vs PostgreSQL and MonetDB/Vertica/Neo4j on RAM. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11525
Venue
VLDB
Year
2017
Pagerank
5.5629772e-05
Overall Rank
5,338 | 62.87%
DOI
-

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