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

Summary: Curio embeds positional metadata with base data, avoiding separate index structures. It enables fast ad-hoc OLAP over aggregation, filtering, grouping, and range queries, with storage savings and substantial performance gains versus Oracle. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 8619
Venue: VLDB
Year: 1999
Pagerank: 4.1945683e-05
Overall Rank: 12,724 | 11.49%
DOI: -

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Rank	Citing Paper	Year	Venue	Pagerank

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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	0.0011708144
121	Improved Query Performance with Variant Indexes	1997	SIGMOD	0.00045447517

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