SeeDB: Visualizing Database Queries Efficiently

Summary: SeeDB extends DBMS optimization to jointly explore the space of query plans and possible result visualizations. It outputs recommended visualizations paired with suitable execution plans, automating visualization discovery and outlining a research agenda for future work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h8bc1987435ba302e
Venue: VLDB
Year: 2014
Pagerank: 6.1240062e-05
Overall Rank: 5,454 | 63.34%
DOI: 10.14778/2732240.2732248

Incoming Non-self Citations Over Time

Authors

1. Aditya Parameswaran (Stanford University; University of Illinois Urbana-Champaign)
2. Neoklis Polyzotis (Google; University of California Santa Cruz)
3. Hector Garcia-Molina (Stanford University)

BibTeX Citation

@article{parameswaran_vldb14,
        title = {{SeeDB: Visualizing Database Queries Efficiently}},
        author = {Parameswaran, Aditya and Polyzotis, Neoklis and Garcia-Molina, Hector},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {4},
        pages = {325--336},
        doi = {10.14778/2732240.2732248},
        url = {https://doi.org/10.14778/2732240.2732248},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
395	SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics	2015	VLDB	0.00019165452
1,215	Overview of Data Exploration Techniques	2015	SIGMOD	0.00011492648
1,661	Rapid Sampling for Visualizations with Ordering Guarantees	2015	VLDB	9.9535453e-05
4,431	ASAP: Prioritizing Attention via Time Series Smoothing	2017	VLDB	6.6020898e-05
4,977	SeeDB: Automatically Generating Query Visualizations	2014	VLDB	6.3305496e-05
5,180	The Case for Data Visualization Management Systems	2014	VLDB	6.240722e-05
6,517	Fast-Forwarding to Desired Visualizations with zenvisage	2017	CIDR	5.7585571e-05
12,077	AUDITOR: A System Designed for Automatic Discovery of Complex Integrity Constraints in Relational Databases	2020	SIGMOD	4.9793485e-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
9	Online Aggregation	1997	SIGMOD	0.00076195956
267	Distinct Sampling for Highly-Accurate Answers to Distinct Values Queries and Event Reports	2001	VLDB	0.00022722971
309	Approximate Query Processing Using Wavelets	2000	VLDB	0.00021384073
700	Explaining differences in multidimensional aggregates	1999	VLDB	0.00014681669
925	Intelligent Rollups in Multidimensional OLAP Data	2001	VLDB	0.00013051939
984	User-adaptive exploration of multidimensional data	2000	VLDB	0.00012686375
1,090	Scalable Approximate Query Processing With The DBO Engine	2007	SIGMOD	0.00012077577
1,112	Google Fusion Tables: Web-Centered Data Management and Collaboration	2010	SIGMOD	0.00011980744
2,650	DEVise: Integrated Querying and Visual Exploration of Large Datasets	1997	SIGMOD	8.1744404e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	5,180	The Case for Data Visualization Management Systems	2014	VLDB
2	5,297	Databases and Visualization	1996	SIGMOD
3	14,587	VisDB: A System for Visualizing Large Databases	1995	SIGMOD
4	7,231	QueryScope: Visualizing Queries for Repeatable Database Tuning	2008	VLDB
5	3,060	Towards a Hands-Free Query Optimizer through Deep Learning	2019	CIDR
6	13,878	Data Visualization Management Systems	2015	CIDR
7	7,578	Interactive Plan Hints for Query Optimization	2009	SIGMOD
8	8,343	Databases will Visualize Queries too	2011	VLDB
9	395	SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics	2015	VLDB
10	4,977	SeeDB: Automatically Generating Query Visualizations	2014	VLDB