LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms
Summary: LDBC Graphalytics is an industrial-grade benchmark for graph analytics on parallel platforms, with six deterministic algorithms, standard datasets, and synthetic data generators. Its harness yields scalable and robust metrics and compares six implementations. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Alexandru Iosup (Delft University of Technology)
- 2. Tim Hegeman (Delft University of Technology)
- 3. Wing Lung Ngai (Delft University of Technology)
- 4. Stijn Heldens (Delft University of Technology)
- 5. Arnau Prat-Pérez (Polytechnic University of Catalonia)
- 6. Thomas Manhardt (Oracle)
- 7. Hassan Chafi (Oracle)
- 8. Mihai Capotă (Intel)
- 9. Narayanan Sundaram (Intel)
- 10. Michael Anderson (Intel)
- 11. Ilie Gabriel Tănase (IBM)
- 12. Yinglong Xia (Huawei Research America)
- 13. Lifeng Nai (Georgia Institute of Technology)
- 14. Peter Boncz (Centrum Wiskunde & Informatica)
BibTeX Citation
@article{iosup_vldb16,
title = {{LDBC Graphalytics: A Benchmark for Large-Scale Graph Analysis on Parallel and Distributed Platforms}},
author = {Iosup, Alexandru and Hegeman, Tim and Ngai, Wing Lung and Heldens, Stijn and Prat-Pérez, Arnau and Manhardt, Thomas and Chafi, Hassan and Capotă, Mihai and Sundaram, Narayanan and Anderson, Michael and Tănase, Ilie Gabriel and Xia, Yinglong and Nai, Lifeng and Boncz, Peter},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
pages = {1317--1330},
doi = {10.14778/3007263.3007274},
url = {https://doi.org/10.14778/3007263.3007274},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 30 of 30 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 236 | LinkBench: a Database Benchmark Based on the Facebook Social Graph | 2013 | SIGMOD | 0.00023664907 |
| 387 | The LDBC Social Network Benchmark: Interactive Workload | 2015 | SIGMOD | 0.00019417187 |
| 780 | The case against specialized graph analytics engines | 2015 | CIDR | 0.00014037973 |
| 1,310 | An Experimental Comparison of Pregel-like Graph Processing Systems | 2014 | VLDB | 0.00011063446 |
| 1,677 | Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets | 2014 | SIGMOD | 9.908814e-05 |
| 1,702 | BigBench: Towards an Industry Standard Benchmark for Big Data Analytics | 2013 | SIGMOD | 9.8315163e-05 |
| 1,863 | Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation | 2015 | VLDB | 9.4809535e-05 |
| 1,999 | GraphMat: High performance graph analytics made productive | 2015 | VLDB | 9.211479e-05 |
| 2,356 | Vertexica: Your Relational Friend for Graph Analytics! | 2014 | VLDB | 8.5852943e-05 |
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Semantically Similar Papers
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|---|---|---|---|---|
| 1 | 9,775 | GraphScope Flex: LEGO-like Graph Computing Stack | 2024 | SIGMOD |
| 2 | 22 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB |
| 3 | 1,863 | Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation | 2015 | VLDB |
| 4 | 7,489 | DPGraph: A Benchmark Platform for Differentially Private Graph Analysis | 2021 | SIGMOD |
| 5 | 1,677 | Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets | 2014 | SIGMOD |
| 6 | 387 | The LDBC Social Network Benchmark: Interactive Workload | 2015 | SIGMOD |
| 7 | 4,071 | Beyond Macrobenchmarks: Microbenchmark-based Graph Database Evaluation | 2019 | VLDB |
| 8 | 3,058 | The LDBC Social Network Benchmark: Business Intelligence Workload | 2023 | VLDB |
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