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QIRANA Demonstration: Real Time Scalable Query Pricing

Summary: Qirana: a real-time, scalable query-pricing layer for data markets enabling arbitrage-free pricing between buyers and sellers. Sellers select pricing functions/points; mock workloads tune parameters; buyers issue queries with per-dataset budgets; demonstrated on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11494
Venue
VLDB
Year
2017
Pagerank
5.1023673e-05
Overall Rank
6,344 | 55.87%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
1,298 Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms 2019 VLDB 0.00012758104
4,279 Revenue Maximization for Query Pricing 2020 VLDB 6.2953388e-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
1,771 On Arbitrage-free Pricing for General Data Queries 2014 VLDB 0.00010617356
2,370 Query-Based Data Pricing 2012 PODS 8.9488834e-05
2,820 Price-Optimal Querying with Data APIs 2016 VLDB 8.062913e-05
5,800 QueryMarket Demonstration: Pricing for Online Data Markets 2012 VLDB 5.3211601e-05
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