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)
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 |
|---|---|---|---|---|
| 395 | SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics | 2015 | VLDB | 0.00019165452 |
| 1,409 | Northstar: An Interactive Data Science System | 2018 | VLDB | 0.00010743451 |
| 3,436 | Collaborative Data Analytics with DataHub | 2015 | VLDB | 7.3007741e-05 |
| 6,051 | A Demonstration of Interactive Analysis of Performance Measurements with Viska | 2017 | SIGMOD | 5.9029287e-05 |
| 6,517 | Fast-Forwarding to Desired Visualizations with zenvisage | 2017 | CIDR | 5.7585571e-05 |
| 6,875 | Towards Democratizing Relational Data Visualization | 2019 | SIGMOD | 5.6589849e-05 |
| 7,104 | Data Vocalization with CiceroDB | 2019 | CIDR | 5.601767e-05 |
| 9,139 | MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis | 2021 | SIGMOD | 5.2215322e-05 |
| 11,890 | BABOONS: Black-Box Optimization of Data Summaries in Natural Language | 2022 | VLDB | 4.9793485e-05 |
Previous
Page 1 / 1
Next
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 | 0.00014681669 |
| 925 | Intelligent Rollups in Multidimensional OLAP Data | 2001 | VLDB | 0.00013051939 |
| 984 | User-adaptive exploration of multidimensional data | 2000 | VLDB | 0.00012686375 |
| 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 |
| 5,454 | SeeDB: Visualizing Database Queries Efficiently | 2014 | VLDB | 6.1240062e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,652 | Extreme Visualization: Squeezing a Billion Records into a Million Pixels | 2008 | SIGMOD |
| 2 | 9,182 | DBSeer: Pain-free Database Administration through Workload Intelligence | 2015 | VLDB |
| 3 | 12,433 | AIDE: An Automatic User Navigation System for Interactive Data Exploration | 2015 | VLDB |
| 4 | 5,759 | DeepEye: Creating Good Data Visualizations by Keyword Search | 2018 | SIGMOD |
| 5 | 7,231 | QueryScope: Visualizing Queries for Repeatable Database Tuning | 2008 | VLDB |
| 6 | 5,297 | Databases and Visualization | 1996 | SIGMOD |
| 7 | 14,587 | VisDB: A System for Visualizing Large Databases | 1995 | 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 | 5,454 | SeeDB: Visualizing Database Queries Efficiently | 2014 | VLDB |