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Demonstration of Smoke: A Deep Breath of Data-Intensive Lineage Applications

Summary: Smoke: a lineage-enabled DB engine optimized for declarative lineage workloads. Demonstrations cover tooltips/details-on-demand, crossfilter, and data profiling, and show Smoke outperforming hand-tuned implementations and rival lineage systems in practice. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h4f5dd025531ace72
Venue
SIGMOD
Year
2018
Pagerank
4.9793485e-05
Overall Rank
12,214 | 17.88%
DOI
10.1145/3183713.3193537

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Authors

BibTeX Citation

@inproceedings{psallidas_sigmod18,
        title = {{Demonstration of Smoke: A Deep Breath of Data-Intensive Lineage Applications}},
        author = {Psallidas, Fotis and Wu, Eugene},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3193537},
        url = {https://dl.acm.org/doi/10.1145/3183713.3193537},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,875 Towards Democratizing Relational Data Visualization 2019 SIGMOD 5.6589849e-05
8,892 FaDE: More Than a Million What-ifs Per Second 2025 VLDB 5.2559789e-05
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