Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases
Summary: Aurora shifts OLTP bottlenecks to a network-aware design, pushing redo to a multi-tenant scale-out storage service for fast recovery and failover. Asynchronous consensus across storage nodes yields durable state with low recovery chatter, sharing production lessons for cloud DBs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Alexandre Verbitski (Amazon)
- 2. Anurag Gupta (Amazon)
- 3. Debanjan Saha (Amazon)
- 4. Murali Brahmadesam (Amazon)
- 5. Kamal Gupta (Amazon)
- 6. Raman Mittal (Amazon)
- 7. Sailesh Krishnamurthy (Amazon)
- 8. Sandor Maurice (Amazon)
- 9. Tengiz Kharatishvili (Amazon)
- 10. Xiaofeng Bao (Amazon)
BibTeX Citation
@inproceedings{verbitski_sigmod17,
title = {{Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases}},
author = {Verbitski, Alexandre and Gupta, Anurag and Saha, Debanjan and Brahmadesam, Murali and Gupta, Kamal and Mittal, Raman and Krishnamurthy, Sailesh and Maurice, Sandor and Kharatishvili, Tengiz and Bao, Xiaofeng},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3056101},
url = {https://dl.acm.org/doi/10.1145/3035918.3056101},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 41 of 141 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 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 |
| 47 | PNUTS: Yahoo!'s Hosted Data Serving Platform | 2008 | VLDB | 0.00044066403 |
| 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 |
| 890 | E-Store: Fine-Grained Elastic Partitioning for Distributed Transaction Processing Systems | 2015 | VLDB | 0.00013247078 |
| 1,083 | High Performance Transactions in Deuteronomy | 2015 | CIDR | 0.00012113053 |
| 1,194 | Highly Available Transactions: Virtues and Limitations | 2014 | VLDB | 0.00011586405 |
| 1,399 | LLAMA: A Cache/Storage Subsystem for Modern Hardware | 2013 | VLDB | 0.00010781976 |
| 1,947 | Scalable Atomic Visibility with RAMP Transactions | 2014 | SIGMOD | 9.3241479e-05 |
| 3,310 | Rethinking Eventual Consistency | 2013 | SIGMOD | 7.4405091e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,966 | Choosing A Cloud DBMS: Architectures and Tradeoffs | 2019 | VLDB |
| 2 | 7,079 | Understanding the Performance Implications of the Design Principles in Storage-Disaggregated Databases | 2024 | SIGMOD |
| 3 | 3,647 | The evolution of Amazon Redshift (extended abstract) | 2021 | VLDB |
| 4 | 13,666 | SunStorm: Geographically distributed transactions over Aurora-style systems | 2025 | VLDB |
| 5 | 641 | Relational Cloud: A Database-as-a-Service for the Cloud | 2011 | CIDR |
| 6 | 2,671 | Taurus Database: How to be Fast, Available, and Frugal in the Cloud | 2020 | SIGMOD |
| 7 | 10,678 | Reducing Tail Latency in Storage-Disaggregated Database Systems | 2026 | SIGMOD |
| 8 | 7,345 | PolarDB-SCC: A Cloud-Native Database Ensuring Low Latency for Strongly Consistent Reads | 2023 | VLDB |
| 9 | 4,174 | Resource Management in Aurora Serverless | 2024 | VLDB |
| 10 | 1,425 | Amazon Aurora: On Avoiding Distributed Consensus for I/Os, Commits, and Membership Changes | 2018 | SIGMOD |