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Aqua: A Fast Decision Support System Using Approximate Query Answers
Summary: Aqua provides fast approximate aggregation for OLAP by rewriting queries to run on precomputed synopses stored in the DBMS. Synopses are incrementally maintained and come with quality guarantees, enabling DBMS-agnostic deployment atop commercial RDBMS.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 8626
- Venue
- VLDB
- Year
- 1999
- Pagerank
- 0.00015031055
- Overall Rank
- 960 | 93.33%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 22 of 22 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 168 |
Approximate Frequency Counts over Data Streams |
2002 |
VLDB |
0.0003915627 |
| 694 |
BlazeIt: Optimizing Declarative Aggregation and Limit Queries for Neural Network-Based Video Analytics |
2020 |
VLDB |
0.00018031141 |
| 736 |
Congressional Samples for Approximate Answering of Group-By Queries |
2000 |
SIGMOD |
0.00017414831 |
| 1,257 |
Dynamic Sample Selection for Approximate Query Processing |
2003 |
SIGMOD |
0.00013002384 |
| 1,372 |
Random Sampling over Joins Revisited |
2018 |
SIGMOD |
0.0001233325 |
| 1,735 |
SciBORQ: Scientific data management with Bounds On Runtime and Quality |
2011 |
CIDR |
0.00010713691 |
| 1,867 |
Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems |
2014 |
SIGMOD |
0.00010264932 |
| 1,898 |
Guided Interaction: Rethinking the Query-Result Paradigm |
2011 |
VLDB |
0.00010172275 |
| 2,589 |
Database Learning: Toward a Database that Becomes Smarter Every Time |
2017 |
SIGMOD |
8.4868591e-05 |
| 2,603 |
DAQ: A New Paradigm for Approximate Query Processing |
2015 |
VLDB |
8.4634633e-05 |
| 2,604 |
Integrating DB and IR Technologies: What is the Sound of One Hand Clapping? * |
2005 |
CIDR |
8.4628537e-05 |
| 2,995 |
A Sampling Algebra for Aggregate Estimation |
2013 |
VLDB |
7.7606324e-05 |
| 3,192 |
Gestural Query Specification |
2014 |
VLDB |
7.4085087e-05 |
| 4,703 |
Accelerating Approximate Aggregation Queries with Expensive Predicates |
2021 |
VLDB |
5.9793615e-05 |
| 4,825 |
Querying Without Keyboards |
2013 |
CIDR |
5.889464e-05 |
| 5,206 |
ThalamusDB: Approximate Query Processing on Multi-Modal Data |
2024 |
SIGMOD |
5.625641e-05 |
| 5,578 |
CliffGuard: A Principled Framework for Finding Robust Database Designs |
2015 |
SIGMOD |
5.4231783e-05 |
| 5,822 |
Derby/S: A DBMS for Sample-Based Query Answering |
2006 |
SIGMOD |
5.3131659e-05 |
| 6,402 |
Approximate Query Engines: Commercial Challenges and Research Opportunities |
2017 |
SIGMOD |
5.0725227e-05 |
| 6,481 |
Joins on Samples: A Theoretical Guide for Practitioners |
2020 |
VLDB |
5.039683e-05 |
| 9,238 |
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees |
2025 |
SIGMOD |
4.3648789e-05 |
| 9,621 |
ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation |
2023 |
VLDB |
4.3125802e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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