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The LDBC Financial Benchmark: Transaction Workload

Summary: FinBench: a choke-point-driven graph benchmark modeling financial dataset traits—skew, edge multiplicity, temporal windows, recursive path filters, read/write mixes and hub truncation. Provides scalable data/parameter generators and a time-biased driver that surface novel performance choke points in graph DBs. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14126
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,904 | 25.19%
DOI
10.14778/3746405.3746424

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BibTeX Citation

@article{qi_vldb25,
        title = {{The LDBC Financial Benchmark: Transaction Workload}},
        author = {Qi, Shipeng and Tong, Bing and Hu, Jiatao and Lin, Heng and Pang, Yue and Yuan, Wei and Lyu, Songlin and Guo, Zhihui and Huang, Ke and Ba, Xujin and Yin, Qiang and Shen, Youren and Zhou, Yan and Lv, Tao and Li, Jia and Zou, Lei and Wu, Yongwei and Szárnyas, Gábor and Zhu, Xiaowei and Chen, Wenguang and Hong, Chuntao},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {9},
        pages = {3007--3020},
        doi = {10.14778/3746405.3746424},
        url = {https://doi.org/10.14778/3746405.3746424},
        year = {2025}
}

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