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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)

Paper ID
10556
Venue
VLDB
Year
2013
Pagerank
4.1945683e-05
Overall Rank
12,061 | 16.10%
DOI
-

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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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