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)
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 | 0.00019156481 |
| 1,216 | Overview of Data Exploration Techniques | 2015 | SIGMOD | 0.00011487268 |
| 1,662 | Rapid Sampling for Visualizations with Ordering Guarantees | 2015 | VLDB | 9.9502569e-05 |
| 4,433 | ASAP: Prioritizing Attention via Time Series Smoothing | 2017 | VLDB | 6.5989752e-05 |
| 4,979 | SeeDB: Automatically Generating Query Visualizations | 2014 | VLDB | 6.3275644e-05 |
| 5,181 | The Case for Data Visualization Management Systems | 2014 | VLDB | 6.2377699e-05 |
| 6,519 | Fast-Forwarding to Desired Visualizations with zenvisage | 2017 | CIDR | 5.755832e-05 |
| 12,083 | AUDITOR: A System Designed for Automatic Discovery of Complex Integrity Constraints in Relational Databases | 2020 | SIGMOD | 4.9769913e-05 |
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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 | 0.00076265429 |
| 267 | Distinct Sampling for Highly-Accurate Answers to Distinct Values Queries and Event Reports | 2001 | VLDB | 0.00022713652 |
| 309 | Approximate Query Processing Using Wavelets | 2000 | VLDB | 0.00021376597 |
| 701 | Explaining differences in multidimensional aggregates | 1999 | VLDB | 0.0001467489 |
| 925 | Intelligent Rollups in Multidimensional OLAP Data | 2001 | VLDB | 0.00013045856 |
| 984 | User-adaptive exploration of multidimensional data | 2000 | VLDB | 0.00012680398 |
| 1,090 | Scalable Approximate Query Processing With The DBO Engine | 2007 | SIGMOD | 0.00012074369 |
| 1,112 | Google Fusion Tables: Web-Centered Data Management and Collaboration | 2010 | SIGMOD | 0.00011975206 |
| 2,650 | DEVise: Integrated Querying and Visual Exploration of Large Datasets | 1997 | SIGMOD | 8.1706208e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,181 | The Case for Data Visualization Management Systems | 2014 | VLDB |
| 2 | 5,300 | Databases and Visualization | 1996 | SIGMOD |
| 3 | 14,592 | VisDB: A System for Visualizing Large Databases | 1995 | SIGMOD |
| 4 | 7,233 | QueryScope: Visualizing Queries for Repeatable Database Tuning | 2008 | VLDB |
| 5 | 3,057 | Towards a Hands-Free Query Optimizer through Deep Learning | 2019 | CIDR |
| 6 | 13,883 | Data Visualization Management Systems | 2015 | CIDR |
| 7 | 7,582 | Interactive Plan Hints for Query Optimization | 2009 | SIGMOD |
| 8 | 8,346 | Databases will Visualize Queries too | 2011 | VLDB |
| 9 | 395 | SeeDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics | 2015 | VLDB |
| 10 | 4,979 | SeeDB: Automatically Generating Query Visualizations | 2014 | VLDB |