The LDBC Social Network Benchmark: Business Intelligence Workload
Summary: SNB BI benchmarks graph OLAP on scalable temporal social graphs with small-world structure and skewed, correlated attributes, generated via distributed infrastructure. Choke-point queries, parameter curation, and power/throughput metrics support stable, portable DBMS evaluation. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Gábor Szárnyas (Centrum Wiskunde & Informatica)
- 2. Jack Waudby (Newcastle University)
- 3. Benjamin A. Steer (Pometry)
- 4. Dávid Szakállas (Independent contributor)
- 5. Altan Birler (Technical University of Munich)
- 6. Mingxi Wu (TigerGraph)
- 7. Yuchen Zhang (TigerGraph)
- 8. Peter Boncz (Centrum Wiskunde & Informatica)
BibTeX Citation
@article{szarnyas_vldb23,
title = {{The LDBC Social Network Benchmark: Business Intelligence Workload}},
author = {Szárnyas, Gábor and Waudby, Jack and Steer, Benjamin A. and Szakállas, Dávid and Birler, Altan and Wu, Mingxi and Zhang, Yuchen and Boncz, Peter},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {4},
pages = {877--890},
doi = {10.14778/3574245.3574270},
url = {https://doi.org/10.14778/3574245.3574270},
year = {2023}
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