Quickly Generating Billion-Record Synthetic Databases
Summary: Scalable billion-record synthetic SQL databases on shared-nothing clusters for benchmarking. Key ideas: congruential generators for dense, unique uniform data; concurrent index generation via discrete logs; and support for exponential, normal, and self-similar distributions. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jim Gray (Digital Equipment Corporation)
- 2. Prakash Sundaresan (Digital Equipment Corporation)
- 3. Susanne Englert (Tandem Computers)
- 4. Ken Baclawski (Northeastern University)
- 5. Peter J. Weinberger (AT&T)
BibTeX Citation
@inproceedings{gray_sigmod94,
title = {{Quickly Generating Billion-Record Synthetic Databases}},
author = {Gray, Jim and Sundaresan, Prakash and Englert, Susanne and Baclawski, Ken and Weinberger, Peter J.},
series = {{SIGMOD} '94},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/191839.191886},
url = {https://dl.acm.org/doi/10.1145/191839.191886},
year = {1994}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 81 citing papers.
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 |
|---|---|---|---|---|
| 46 | Benchmarking Database Systems: A Systematic Approach | 1983 | VLDB | 0.00044656322 |
| 55 | GAMMA - A High Performance Dataflow Database Machine | 1986 | VLDB | 0.00040385073 |
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