IDEBench: A Benchmark for Interactive Data Exploration
Summary: IDEBench, a benchmark for interactive data exploration workloads on large structured data. It argues traditional TPC-H/DS benchmarks miss IDE characteristics and defines IDE workflows and metrics; validates the benchmark with five engines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Philipp Eichmann (Brown University)
- 2. Emanuel Zgraggen (Massachusetts Institute of Technology)
- 3. Carsten Binnig (Technical University of Darmstadt)
- 4. Tim Kraska (Massachusetts Institute of Technology)
BibTeX Citation
@inproceedings{eichmann_sigmod20,
title = {{IDEBench: A Benchmark for Interactive Data Exploration}},
author = {Eichmann, Philipp and Zgraggen, Emanuel and Binnig, Carsten and Kraska, Tim},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3380574},
url = {https://dl.acm.org/doi/10.1145/3318464.3380574},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 26 of 26 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 327 | The Aqua Approximate Query Answering System | 1999 | SIGMOD | 0.00021091539 |
| 593 | Wander Join: Online Aggregation via Random Walks | 2016 | SIGMOD | 0.00016027871 |
| 1,442 | An Architecture for Compiling UDF-centric Workflows | 2015 | VLDB | 0.00010778486 |
| 2,050 | Vizdom: Interactive Analytics through Pen and Touch | 2015 | VLDB | 9.2546631e-05 |
| 2,109 | Analytic Database Technologies for a New Kind of User - The Data Enthusiast | 2012 | SIGMOD | 9.1548967e-05 |
| 2,136 | Combining User Interaction, Speculative Query Execution and Sampling in the DICE System | 2014 | VLDB | 9.1126926e-05 |
| 3,370 | Revisiting Reuse for Approximate Query Processing | 2017 | VLDB | 7.4700891e-05 |
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