SeeDB: Automatically Generating Query Visualizations

Summary: SeeDB automatically generates and ranks visualizations for a given query by exploring the visualization space and picking the most interesting ones. It demonstrates automatic visualization discovery across real data, reducing analyst effort. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11013
Venue: VLDB
Year: 2014
Pagerank: 6.4736789e-05
Overall Rank: 4,864 | 66.63%
DOI: 10.14778/2733004.2733008

Incoming Non-self Citations Over Time

Authors

1. Manasi Vartak (Massachusetts Institute of Technology)
2. Samuel Madden (Massachusetts Institute of Technology)
3. Aditya Parameswaran (Massachusetts Institute of Technology; University of Illinois Urbana-Champaign)
4. Neoklis Polyzotis (Google; University of California Santa Cruz)

BibTeX Citation

@article{vartak_vldb14,
        title = {{SeeDB: Automatically Generating Query Visualizations}},
        author = {Vartak, Manasi and Madden, Samuel and Parameswaran, Aditya and Polyzotis, Neoklis},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {13},
        pages = {1581--1584},
        doi = {10.14778/2733004.2733008},
        url = {https://doi.org/10.14778/2733004.2733008},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
410	SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics	2015	VLDB	0.0001890421
1,392	Northstar: An Interactive Data Science System	2018	VLDB	0.00010936065
3,402	Collaborative Data Analytics with DataHub	2015	VLDB	7.4418927e-05
5,967	A Demonstration of Interactive Analysis of Performance Measurements with Viska	2017	SIGMOD	6.0248681e-05
6,391	Fast-Forwarding to Desired Visualizations with zenvisage	2017	CIDR	5.8893647e-05
6,737	Towards Democratizing Relational Data Visualization	2019	SIGMOD	5.7875328e-05
6,964	Data Vocalization with CiceroDB	2019	CIDR	5.7303405e-05
8,974	MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis	2021	SIGMOD	5.3413784e-05
11,582	BABOONS: Black-Box Optimization of Data Summaries in Natural Language	2022	VLDB	5.093636e-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
700	Explaining differences in multidimensional aggregates	1999	VLDB	0.00014871032
915	Intelligent Rollups in Multidimensional OLAP Data	2001	VLDB	0.00013243386
965	User-adaptive exploration of multidimensional data	2000	VLDB	0.00012933878
1,098	Google Fusion Tables: Web-Centered Data Management and Collaboration	2010	SIGMOD	0.00012179025
2,632	DEVise: Integrated Querying and Visual Exploration of Large Datasets	1997	SIGMOD	8.3225941e-05
5,329	SeeDB: Visualizing Database Queries Efficiently	2014	VLDB	6.2634965e-05

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3	9,016	DBSeer: Pain-free Database Administration through Workload Intelligence	2015	VLDB
4	5,634	DeepEye: Creating Good Data Visualizations by Keyword Search	2018	SIGMOD
5	5,177	Databases and Visualization	1996	SIGMOD
6	7,098	QueryScope: Visualizing Queries for Repeatable Database Tuning	2008	VLDB
7	14,276	VisDB: A System for Visualizing Large Databases	1995	SIGMOD
8	8,174	Databases will Visualize Queries too	2011	VLDB
9	410	SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics	2015	VLDB
10	5,329	SeeDB: Visualizing Database Queries Efficiently	2014	VLDB