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Simple and Realistic Data Generation

Summary: A DBMS-independent, extensible generator uses a graph model to efficiently synthesize realistic relational data for OLTP, OLAP, and streaming workloads. It scales to complex schemas and captures precise inter- and intra-table correlations. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9610
Venue
VLDB
Year
2006
Pagerank
0.00010309264
Overall Rank
1,578 | 89.18%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{houkjr_vldb06,
        title = {{Simple and Realistic Data Generation}},
        author = {Houkjær, Kenneth and Torp, Kristian and Wind, Rico},
        journal = {PVLDB},
        series = {{VLDB} '06},
        pages = {1243},
        year = {2006}
}

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

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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
105 Quickly Generating Billion-Record Synthetic Databases 1994 SIGMOD 0.00033877899
938 Flexible Database Generators 2005 VLDB 0.00013089351
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