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The DBO Database System

Summary: Prototype of the DBO database system for scalable analytic processing over large data archives. It maintains a statistically meaningful interim guess to the final answer during query processing, enabling early aborts and reduced total time. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4130
Venue
SIGMOD
Year
2008
Pagerank
5.4342404e-05
Overall Rank
8,398 | 42.39%
DOI
10.1145/1376616.1376740

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{rusu_sigmod08,
        title = {{The DBO Database System}},
        author = {Rusu, Florin and Xu, Fei and Perez, Luis Leopoldo and Wu, Mingxi and Jampani, Ravi and Jermaine, Chris and Dobra, Alin},
        series = {{SIGMOD} '08},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1376616.1376740},
        url = {https://dl.acm.org/doi/10.1145/1376616.1376740},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
802 Random Sampling over Joins Revisited 2018 SIGMOD 0.00013907725
3,157 Turbo-Charging Estimate Convergence in DBO 2009 VLDB 7.6911286e-05
3,366 AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics 2018 SIGMOD 7.4748604e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
9 Online Aggregation 1997 SIGMOD 0.00077458002
131 Ripple Joins for Online Aggregation 1999 SIGMOD 0.00030424509
327 The Aqua Approximate Query Answering System 1999 SIGMOD 0.00021091539
1,064 Scalable Approximate Query Processing With The DBO Engine 2007 SIGMOD 0.00012336248
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