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Price-Optimal Querying with Data APIs

Summary: Lightweight history-aware pricing for data APIs to prevent double charging on repeated calls. Introduces refunds to reclaim previously purchased-but-unchanged data, delivering substantial cost savings and two-order-of-magnitude overhead reduction. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11497
Venue
VLDB
Year
2016
Pagerank
7.7743445e-05
Overall Rank
3,081 | 78.87%
DOI
10.14778/3007328.3007335

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{upadhyaya_vldb16,
        title = {{Price-Optimal Querying with Data APIs}},
        author = {Upadhyaya, Prasang and Balazinska, Magdalena and Suciu, Dan},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {14},
        pages = {1695--1706},
        doi = {10.14778/3007328.3007335},
        url = {https://doi.org/10.14778/3007328.3007335},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
409 Semantic Data Caching and Replacement 1996 VLDB 0.00018985783
733 Serializable Snapshot Isolation in PostgreSQL 2012 VLDB 0.00014533437
1,861 On Arbitrage-free Pricing for General Data Queries 2014 VLDB 9.5965642e-05
2,342 Query-Based Data Pricing 2012 PODS 8.7217471e-05
2,719 Toward Practical Query Pricing with QueryMarket 2013 SIGMOD 8.209612e-05
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