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QUEPA: QUerying and Exploring a Polystore by Augmentation

Summary: QUEPA introduces augmented search and exploration for polystores, automatically enriching cross-store results without a global schema. Plug-and-play, middleware-free integration preserving native languages for lightweight cross-engine data sharing. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5165
Venue
SIGMOD
Year
2016
Pagerank
4.4100992e-05
Overall Rank
9,007 | 37.35%
DOI
10.1145/2882903.2899393

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
9,607 Polyglot Data Management: State of the Art & Open Challenges 2022 VLDB 4.3177432e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
2,498 Support the Data Enthusiast: Challenges for Next-Generation Data-Analysis Systems 2014 VLDB 8.6465331e-05
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