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Starling: A Scalable Query Engine on Cloud Functions
Summary: Starling: scalable, serverless query engine with hundreds of stateless workers and mitigated stragglers. Delivers interactive latency at lower total cost than provisioned clusters for bursty analytics; scales to larger data, including 1TB TPC-H datasets.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
hdeecfc0efbd4a038
Venue
SIGMOD
Year
2020
Pagerank
0.00013084137
Overall Rank
913 | 93.89%
DOI
10.1145/3318464.3380609
Incoming Non-self Citations Over Time
BibTeX Citation
@inproceedings{perron_sigmod20,
title = {{Starling: A Scalable Query Engine on Cloud Functions}},
author = {Perron, Matthew and Fernandez, Raul Castro and DeWitt, David and Madden, Samuel},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3380609},
url = {https://dl.acm.org/doi/10.1145/3318464.3380609},
year = {2020}
}
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Outgoing Citations (Sorted by Pagerank)
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