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)
Incoming Non-self Citations Over Time
Authors
- 1. Kenneth Houkjær (Aalborg University)
- 2. Kristian Torp (Aalborg University)
- 3. Rico Wind (Aalborg University)
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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