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Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data

Summary: Benchmark for real-time interactive querying on large data, grounded in real user traces from crossfilter-style visualization workloads. Open benchmark artifacts—datasets, interaction sequences, SQL queries, and analysis code—to advance reproducible research in interactive data exploration. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6009
Venue
SIGMOD
Year
2020
Pagerank
6.1868208e-05
Overall Rank
5,524 | 62.11%
DOI
10.1145/3318464.3389732

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{battle_sigmod20,
        title = {{Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data}},
        author = {Battle, Leilani and Eichmann, Philipp and Angelini, Marco and Catarci, Tiziana and Santucci, Giuseppe and Zheng, Yukun and Binnig, Carsten and Fekete, Jean-Daniel and Moritz, Dominik},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3389732},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389732},
        year = {2020}
}

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