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Generating Flexible Workloads for Graph Databases

Summary: gMark is the first domain- and query-language-independent framework for synthetic graph and workload generation. It delivers fine-grained schema-driven control, supports recursive queries, provides selectivity estimation; benchmarks four graph engines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11444
Venue
VLDB
Year
2016
Pagerank
5.3547189e-05
Overall Rank
8,867 | 39.17%
DOI
10.14778/3007263.3007283

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bagan_vldb16,
        title = {{Generating Flexible Workloads for Graph Databases}},
        author = {Bagan, Guillaume and Bonifati, Angela and Ciucanu, Radu and Fletcher, George H. L. and Lemay, Aurélien and Advokaat, Nicky},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {13},
        doi = {10.14778/3007263.3007283},
        url = {https://doi.org/10.14778/3007263.3007283},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
5,322 ZipG: A Memory-efficient Graph Store for Interactive Queries 2017 SIGMOD 6.2659893e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
426 The LDBC Social Network Benchmark: Interactive Workload 2015 SIGMOD 0.00018692185
4,982 Workload Matters: Why RDF Databases Need a New Design 2014 VLDB 6.4127848e-05
Previous Page 1 / 1 Next

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