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Curio: A Novel Solution for Efficient Storage and Indexing in Data Warehouses

Summary: Curio combines a data repository and OLAP server with positional indexing, avoiding separate indexes for fast ad hoc queries. It targets warehouse workloads with lower storage and maintenance overhead, and is evaluated against commercial systems, especially Oracle. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8810
Venue
VLDB
Year
1999
Pagerank
5.093636e-05
Overall Rank
12,917 | 11.38%
DOI
-

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Authors

BibTeX Citation

@article{datta_vldb99,
        title = {{Curio: A Novel Solution for Efficient Storage and Indexing in Data Warehouses}},
        author = {Datta, Anindya and Ramamritham, Krithi and Thomas, Helen},
        journal = {PVLDB},
        series = {{VLDB} '99},
        pages = {730},
        year = {1999}
}

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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
11 Implementing Data Cubes Efficiently 1996 SIGMOD 0.00071822821
104 Improved Query Performance with Variant Indexes 1997 SIGMOD 0.00033932213
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