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The Snowflake Elastic Data Warehouse

Summary: Cloud-native, multi-cluster, shared-data warehouse with elastic compute and decoupled storage. Semi-structured data support, schema-less workloads, time travel, and end-to-end security in a pay-as-you-go AWS SaaS with full SQL and immediate data upload. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5262
Venue
SIGMOD
Year
2016
Pagerank
0.00038561587
Overall Rank
66 | 99.55%
DOI
10.1145/2882903.2903741

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{dageville_sigmod16,
        title = {{The Snowflake Elastic Data Warehouse}},
        author = {Dageville, Benoit and Cruanes, Thierry and Zukowski, Marcin and Antonov, Vadim and Avanes, Artin and Bock, Jon and Claybaugh, Jonathan and Engovatov, Daniel and Hentschel, Martin and Huang, Jiansheng and Lee, Allison W. and Motivala, Ashish and Munir, Abdul Q. and Pelley, Steven and Povinec, Peter and Rahn, Greg and Triantafyllis, Spyridon and Unterbrunner, Philipp},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2903741},
        url = {https://dl.acm.org/doi/10.1145/2882903.2903741},
        year = {2016}
}

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