Just can't get enough - Synthesizing Big Data

Summary: DBSynth automatically generates realistic, large-scale synthetic data from schema and sample data, extracting value-level features and Markov models. As an extension to PDGF, it enables fast, scalable generation across formats (CSV/JSON/XML/SQL) for big-data benchmarks (TPC-DI/BigBench) with automatic dictionaries and multi-core speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 5055
Venue: SIGMOD
Year: 2015
Pagerank: 6.0160344e-05
Overall Rank: 5,992 | 58.90%
DOI: 10.1145/2723372.2735378

Incoming Non-self Citations Over Time

Authors

1. Tilmann Rabl (University of Toronto)
2. Manuel Danisch (Bankmark UG)
3. Michael Frank (Bankmark UG)
4. Sebastian Schindler (Bankmark UG)
5. Hans-Arno Jacobsen (University of Toronto)

BibTeX Citation

@inproceedings{rabl_sigmod15,
        title = {{Just can't get enough - Synthesizing Big Data}},
        author = {Rabl, Tilmann and Danisch, Manuel and Frank, Michael and Schindler, Sebastian and Jacobsen, Hans-Arno},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2735378},
        url = {https://dl.acm.org/doi/10.1145/2723372.2735378},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,755	Synthesizing Linked Data Under Cardinality and Integrity Constraints	2021	SIGMOD	5.7830386e-05
7,866	Dscaler: Synthetically Scaling A Given Relational Database	2016	VLDB	5.5281143e-05
8,037	HYDRA: A Dynamic Big Data Regenerator	2018	VLDB	5.5025567e-05
9,985	Projection-Compliant Database Generation	2022	VLDB	5.1842045e-05

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
105	Quickly Generating Billion-Record Synthetic Databases	1994	SIGMOD	0.00033877899
734	QAGen: Generating Query-Aware Test Databases	2007	SIGMOD	0.00014525584
938	Flexible Database Generators	2005	VLDB	0.00013089351
1,578	Simple and Realistic Data Generation	2006	VLDB	0.00010309264
1,693	BigBench: Towards an Industry Standard Benchmark for Big Data Analytics	2013	SIGMOD	9.9965799e-05
2,369	Data Generation using Declarative Constraints	2011	SIGMOD	8.682429e-05
3,994	Generating Databases for Query Workloads	2010	VLDB	6.9686731e-05
4,877	TPC-DI: The First Industry Benchmark for Data Integration	2014	VLDB	6.468584e-05
7,248	Myriad: Scalable and Expressive Data Generation	2012	VLDB	5.6635058e-05

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4	12,088	Synthesizing Data Programs	2015	CIDR
5	5,978	From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems	2019	SIGMOD
6	938	Flexible Database Generators	2005	VLDB
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9	105	Quickly Generating Billion-Record Synthetic Databases	1994	SIGMOD
10	9,028	DataSynth: Generating Synthetic Data using Declarative Constraints	2011	VLDB