Designing Query Optimizers for Big Data Problems of The Future
Summary: Vertica SQL Query Optimizer built from the ground up for the Vertica Analytic DB; design decisions and tradeoffs highlighted. Argues that the full power of future big-data systems hinges on a custom, system-tuned optimizer rather than generic approaches. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Nga Tran
- 2. Sreenath Bodagala
- 3. Jaimin Dave
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 310 | The Vertica Analytic Database: C-Store 7 Years Later | 2012 | VLDB | 0.00028132402 |
| 2,241 | Query Optimization in Microsoft SQL Server PDW | 2012 | SIGMOD | 9.2191212e-05 |
| 4,001 | Partial Join Order Optimization in the ParAccel Analytic Database | 2009 | SIGMOD | 6.5463503e-05 |
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