Socrates: The New SQL Server in the Cloud
Summary: Proposes Socrates, a cloud-native DBaaS architecture that overcomes monolithic limits to deliver scalable, secure, cost-efficient DBaaS. Implemented in SQL Server and exposed as Azure SQL DB Hyperscale, with a performance comparison to the prior Azure SQL DB offering. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Panagiotis Antonopoulos (Microsoft)
- 2. Alex Budovski (Microsoft)
- 3. Cristian Diaconu (Microsoft)
- 4. Alejandro Hernandez Saenz (Microsoft)
- 5. Jack Hu (Microsoft)
- 6. Hanuma Kodavalla (Microsoft)
- 7. Donald Kossmann (Microsoft)
- 8. Sandeep Lingam (Microsoft)
- 9. Umar Farooq Minhas (Microsoft)
- 10. Naveen Prakash (Microsoft)
- 11. Vijendra Purohit (Microsoft)
- 12. Hugh Qu (Microsoft)
- 13. Chaitanya Sreenivas Ravella (Microsoft)
- 14. Krystyna Reisteter (Microsoft)
- 15. Sheetal Shrotri (Microsoft)
- 16. Dixin Tang (University of Chicago)
- 17. Vikram Wakade (Microsoft)
BibTeX Citation
@inproceedings{antonopoulos_sigmod19,
title = {{Socrates: The New SQL Server in the Cloud}},
author = {Antonopoulos, Panagiotis and Budovski, Alex and Diaconu, Cristian and Saenz, Alejandro Hernandez and Hu, Jack and Kodavalla, Hanuma and Kossmann, Donald and Lingam, Sandeep and Minhas, Umar Farooq and Prakash, Naveen and Purohit, Vijendra and Qu, Hugh and Ravella, Chaitanya Sreenivas and Reisteter, Krystyna and Shrotri, Sheetal and Tang, Dixin and Wakade, Vikram},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3314047},
url = {https://dl.acm.org/doi/10.1145/3299869.3314047},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 17 of 67 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 19 | A Critique of ANSI SQL Isolation Levels | 1995 | SIGMOD | 0.00058781151 |
| 63 | Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases | 2017 | SIGMOD | 0.00038531147 |
| 165 | The Dangers of Replication and a Solution | 1996 | SIGMOD | 0.00027270353 |
| 170 | High-Performance Concurrency Control Mechanisms for Main-Memory Databases | 2012 | VLDB | 0.0002705961 |
| 365 | Hyder - A Transactional Record Manager for Shared Flash | 2011 | CIDR | 0.00019941855 |
| 647 | Building a Database on S3 | 2008 | SIGMOD | 0.00015208434 |
| 993 | Unbundling Transaction Services in the Cloud | 2009 | CIDR | 0.0001263917 |
| 1,583 | On the Design and Scalability of Distributed Shared-Data Databases | 2015 | SIGMOD | 0.00010169494 |
| 2,384 | Performance Tradeoffs for Client-Server Query Processing | 1996 | SIGMOD | 8.5398467e-05 |
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