DataSynth: Generating Synthetic Data using Declarative Constraints

Summary: DataSynth uses a declarative, cardinality-constraint abstraction to specify complex synthetic data characteristics. Efficient generation algorithms enable realistic DB instances for testing, masking, and benchmarking; demo on two real-world scenarios. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h4ced931b764dacca
Venue: VLDB
Year: 2011
Pagerank: 5.2097089e-05
Overall Rank: 9,197 | 38.17%
DOI: 10.14778/3402755.3402785

Incoming Non-self Citations Over Time

Authors

1. Arvind Arasu (Microsoft)
2. Raghav Kaushik (Microsoft)
3. Jian Li (University of Maryland)

BibTeX Citation

@article{arasu_vldb11,
        title = {{DataSynth: Generating Synthetic Data using Declarative Constraints}},
        author = {Arasu, Arvind and Kaushik, Raghav and Li, Jian},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {12},
        pages = {1418--1421},
        doi = {10.14778/3402755.3402785},
        url = {https://doi.org/10.14778/3402755.3402785},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,176	Projection-Compliant Database Generation	2022	VLDB	5.0679291e-05

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
106	Quickly Generating Billion-Record Synthetic Databases	1994	SIGMOD	0.00033526937
371	STHoles: A Multidimensional Workload-Aware Histogram	2001	SIGMOD	0.00019829769
747	QAGen: Generating Query-Aware Test Databases	2007	SIGMOD	0.00014283935
955	Flexible Database Generators	2005	VLDB	0.00012866364
2,413	Data Generation using Declarative Constraints	2011	SIGMOD	8.5094338e-05
4,090	Generating Databases for Query Workloads	2010	VLDB	6.8126942e-05

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