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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
11688
Venue
VLDB
Year
2018
Pagerank
4.623701e-05
Overall Rank
7,895 | 45.08%
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
9,467 Database Gyms 2023 CIDR 4.3346412e-05
9,836 Projection-Compliant Database Generation 2022 VLDB 4.2747054e-05
10,067 Detecting Logic Bugs in DBMSs via Equivalent Data Construction 2026 SIGMOD 4.1945683e-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 0.0004138408
888 QAGen: Generating Query-Aware Test Databases 2007 SIGMOD 0.00015578618
934 Flexible Database Generators 2005 VLDB 0.00015227409
2,291 Data Generation using Declarative Constraints 2011 SIGMOD 9.0926719e-05
6,234 Just can't get enough - Synthesizing Big Data 2015 SIGMOD 5.1451686e-05
7,759 Dscaler: Synthetically Scaling A Given Relational Database 2016 VLDB 4.6593145e-05
13,390 CODD: A Dataless Approach to Big Data Testing 2015 VLDB -
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