Synner: Generating Realistic Synthetic Data

Summary: Synner is an interactive, declarative synthetic-data generator for field domains, distributions, and inter-field relations. It supports custom distributions, offers previews, and suggests generation specs from examples to produce realistic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 5870
Venue: SIGMOD
Year: 2020
Pagerank: -
Overall Rank: 13,287 | 7.66%
DOI: 10.1145/3318464.3384696

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Miro Mannino
2. Azza Abouzied

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
8,704	Supporting Database Constraints in Synthetic Data Generation based on Generative Adversarial Networks	2020	SIGMOD	5.4453351e-05
10,804	PrivEval: a tool for interactive evaluation of privacy metrics in synthetic data generation	2025	VLDB	5.1725247e-05
8,388	Synthetic Tabular Data: Methods, Attacks and Defenses	2025	VLDB	5.4958075e-05
7,420	Trinity: An Extensible Synthesis Framework for Data Science	2019	VLDB	5.6866037e-05
928	Flexible Database Generators	2005	VLDB	0.00013212074
8,612	Controllable Tabular Data Synthesis Using Diffusion Models	2024	SIGMOD	5.4598872e-05
3,894	DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing	2014	VLDB	7.0984583e-05
5,903	Just can't get enough - Synthesizing Big Data	2015	SIGMOD	6.1091961e-05
7,808	PSynDB: Accurate and Accessible Private Data Generation	2019	VLDB	5.6035684e-05
8,902	DataSynth: Generating Synthetic Data using Declarative Constraints	2011	VLDB	5.41182e-05