SQLShare: Results from a Multi-Year SQL-as-a-Service Experiment
Summary: SQLShare: SQL-as-a-Service for scientists with limited DB experience, enabling ad hoc analytics through easy ingest, loose schemas, and schema inference. Workloads show short lifetimes and high query complexity, signaling a new class of short-term, collaborative analytics. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Shrainik Jain (University of Washington)
- 2. Dominik Moritz (University of Washington)
- 3. Daniel Halperin (University of Washington)
- 4. Bill Howe (University of Washington)
- 5. Ed Lazowska (University of Washington)
BibTeX Citation
@inproceedings{jain_sigmod16,
title = {{SQLShare: Results from a Multi-Year SQL-as-a-Service Experiment}},
author = {Jain, Shrainik and Moritz, Dominik and Halperin, Daniel and Howe, Bill and Lazowska, Ed},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2882957},
url = {https://dl.acm.org/doi/10.1145/2882903.2882957},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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