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: h906dc8724dd679ef
Venue: SIGMOD
Year: 2015
Pagerank: 5.8588429e-05
Overall Rank: 6,134 | 58.89%
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
6,916	Synthesizing Linked Data Under Cardinality and Integrity Constraints	2021	SIGMOD	5.6320169e-05
8,051	Dscaler: Synthetically Scaling A Given Relational Database	2016	VLDB	5.383739e-05
8,221	HYDRA: A Dynamic Big Data Regenerator	2018	VLDB	5.3588446e-05
10,214	Projection-Compliant Database Generation	2022	VLDB	5.0488113e-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
106	Quickly Generating Billion-Record Synthetic Databases	1994	SIGMOD	0.00033563032
751	QAGen: Generating Query-Aware Test Databases	2007	SIGMOD	0.00014245413
958	Flexible Database Generators	2005	VLDB	0.00012834376
1,607	Simple and Realistic Data Generation	2006	VLDB	0.00010078023
1,707	BigBench: Towards an Industry Standard Benchmark for Big Data Analytics	2013	SIGMOD	9.8031942e-05
2,422	Data Generation using Declarative Constraints	2011	SIGMOD	8.4785012e-05
4,113	Generating Databases for Query Workloads	2010	VLDB	6.7870932e-05
4,953	TPC-DI: The First Industry Benchmark for Data Integration	2014	VLDB	6.3266635e-05
7,420	Myriad: Scalable and Expressive Data Generation	2012	VLDB	5.515517e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	4,348	Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration	2020	VLDB
2	9,056	Generating Flexible Workloads for Graph Databases	2016	VLDB
3	12,430	Synthesizing Data Programs	2015	CIDR
4	8,987	Supporting Database Constraints in Synthetic Data Generation based on Generative Adversarial Networks	2020	SIGMOD
5	6,095	From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems	2019	SIGMOD
6	958	Flexible Database Generators	2005	VLDB
7	1,707	BigBench: Towards an Industry Standard Benchmark for Big Data Analytics	2013	SIGMOD
8	2,422	Data Generation using Declarative Constraints	2011	SIGMOD
9	106	Quickly Generating Billion-Record Synthetic Databases	1994	SIGMOD
10	9,229	DataSynth: Generating Synthetic Data using Declarative Constraints	2011	VLDB