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HYDRA: A Dynamic Big Data Regenerator

Summary: HYDRA: a dynamic, workload-aware data regenerator demo; tiny memory-resident summary regenerates large databases on-the-fly during query execution. In-memory generation offers controllable velocity; summary construction is data-scale-free. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11689
Venue
VLDB
Year
2018
Pagerank
4.6192674e-05
Overall Rank
7,895 | 45.13%
DOI
10.14778/3229863.3236238

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
9,469 Database Gyms 2023 CIDR 4.3304872e-05
9,835 Projection-Compliant Database Generation 2022 VLDB 4.2706095e-05
10,067 Detecting Logic Bugs in DBMSs via Equivalent Data Construction 2026 SIGMOD 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Rank Cited Paper Year Venue Pagerank
145 Quickly Generating Billion-Record Synthetic Databases 1994 SIGMOD 0.00041403894
882 QAGen: Generating Query-Aware Test Databases 2007 SIGMOD 0.00015634206
933 Flexible Database Generators 2005 VLDB 0.00015220613
2,295 Data Generation using Declarative Constraints 2011 SIGMOD 9.0842571e-05
6,229 Just can't get enough - Synthesizing Big Data 2015 SIGMOD 5.140274e-05
7,760 Dscaler: Synthetically Scaling A Given Relational Database 2016 VLDB 4.6548456e-05
13,403 CODD: A Dataless Approach to Big Data Testing 2015 VLDB -
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