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
- 2. Prakash Sundaresan
- 3. Susanne Englert
- 4. Ken Baclawski
- 5. Peter J. Weinberger
Incoming Citations (Sorted by Pagerank)
Showing 28 of 78 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 |
|---|---|---|---|---|
| 10 | Benchmarking Database Systems: A Systematic Approach | 1983 | VLDB | 0.0012093675 |
| 21 | GAMMA - A High Performance Dataflow Database Machine | 1986 | VLDB | 0.00086104592 |
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