Automatically Indexing Millions of Databases in Microsoft Azure SQL Database
Summary: Industrial-strength auto-indexing service for Azure SQL Database that auto-recommends and applies indexes across millions of databases, enabling broad deployment and notable performance gains. Describes architecture, design choices, implementation, and large-scale production validation on real workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sudipto Das (Microsoft)
- 2. Miroslav Grbic (Microsoft)
- 3. Igor Ilic (Microsoft)
- 4. Isidora Jovandic (Microsoft)
- 5. Andrija Jovanovic (Microsoft)
- 6. Vivek R. Narasayya (Microsoft)
- 7. Miodrag Radulovic (Microsoft)
- 8. Maja Stikic (Microsoft)
- 9. Gaoxiang Xu (Microsoft)
- 10. Surajit Chaudhuri (Microsoft)
BibTeX Citation
@inproceedings{das_sigmod19,
title = {{Automatically Indexing Millions of Databases in Microsoft Azure SQL Database}},
author = {Das, Sudipto and Grbic, Miroslav and Ilic, Igor and Jovandic, Isidora and Jovanovic, Andrija and Narasayya, Vivek R. and Radulovic, Miodrag and Stikic, Maja and Xu, Gaoxiang and Chaudhuri, Surajit},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3314035},
url = {https://dl.acm.org/doi/10.1145/3299869.3314035},
year = {2019}
}
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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