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Myriad: Scalable and Expressive Data Generation

Summary: Myriad is a scalable data-generation toolkit for expressive, rich generators that scale linearly in a shared-nothing cluster. It achieves terabyte-scale generation via a parallel execution strategy built on PRNGs with random-access support. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h4505dc9f4917d5d0
Venue
VLDB
Year
2012
Pagerank
5.5364343e-05
Overall Rank
7,398 | 50.27%
DOI
10.14778/2367502.2367530

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{alexandrov_vldb12,
        title = {{Myriad: Scalable and Expressive Data Generation}},
        author = {Alexandrov, Alexander and Tzoumas, Kostas and Markl, Volker},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {12},
        pages = {1890--1893},
        doi = {10.14778/2367502.2367530},
        url = {https://doi.org/10.14778/2367502.2367530},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,119 Just can't get enough - Synthesizing Big Data 2015 SIGMOD 5.881057e-05
10,176 Projection-Compliant Database Generation 2022 VLDB 5.0679291e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,602 Simple and Realistic Data Generation 2006 VLDB 0.00010101626
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