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Lots o' Ticks: real-time high performance time series queries on billions of trades and quotes

Summary: Declarative time-series extension to SQL and a 50-way parallel DB for real-time analysis of billions of ticks. Enables time-delayed correlations, tick trends; first to store/analyze hundreds of GB of tick data with high performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3385
Venue
SIGMOD
Year
2001
Pagerank
5.8927673e-05
Overall Rank
6,379 | 56.24%
DOI
10.1145/375663.375783

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{whitney_sigmod01,
        title = {{Lots o' Ticks: real-time high performance time series queries on billions of trades and quotes}},
        author = {Whitney, Arthur and Shasha, Dennis},
        series = {{SIGMOD} '01},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/375663.375783},
        url = {https://dl.acm.org/doi/10.1145/375663.375783},
        year = {2001}
}

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