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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)

Paper ID
hc7dc65cf3c8c268e
Venue
SIGMOD
Year
2017
Pagerank
0.00038609177
Overall Rank
63 | 99.58%
DOI
10.1145/3035918.3056101

Incoming Non-self Citations Over Time

Authors

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 42 of 142 citing papers.

Rank Citing Paper Year Venue Pagerank
9,923 PNUTS to Sherpa: Lessons from Yahoo!’s Cloud Database 2019 VLDB 5.0977295e-05
9,984 The Story of AWS Glue 2023 VLDB 5.0855508e-05
9,987 OLTP Through the Looking Glass 16 Years Later: Communication is the New Bottleneck 2025 CIDR 5.0845476e-05
9,989 CloudJump II: Optimizing Cloud Databases for Shared Storage 2025 SIGMOD 5.0845476e-05
10,113 VeriTxn: Verifiable Transactions for Cloud-Native Databases with Storage Disaggregation 2023 SIGMOD 5.0664623e-05
10,166 End-to-End Declarative Data Analytics: Co-designing Engines, Interfaces, and Cloud Infrastructure 2026 CIDR 5.0559291e-05
10,174 CloudJump: Optimizing Cloud Databases for Cloud Storages 2022 VLDB 5.0559291e-05
10,190 Kishu: Time-Traveling for Computational Notebooks 2025 VLDB 5.052396e-05
10,263 TreeCat: Standalone Catalog Engine for Large Data Systems 2025 VLDB 5.0380426e-05
10,293 From Scale-Up to Scale-Out: PolarDB’s Journey to Achieving 2 Billion tpmC 2025 VLDB 5.031399e-05
10,312 ElasticNotebook: Enabling Live Migration for Computational Notebooks 2024 VLDB 5.0264591e-05
10,348 AnalyticDB-PG: A Cloud-native High-performance Data Warehouse in Alibaba Cloud 2025 VLDB 5.0195882e-05
10,387 CacheServer: Disaggregated Caching for Cloud Databases 2027 SIGMOD 4.9605343e-05
10,426 Cloudspecs: Cloud Hardware Evolution Through the Looking Glass 2026 CIDR 4.9605343e-05
10,439 Rosé: Flexible Replication With Strong Semantics For Partitioned Databases 2026 CIDR 4.9605343e-05
10,545 HotHash: Hotness-Aware Consistent Hashing for Cloud Databases 2026 SIGMOD 4.9605343e-05
10,591 Translytical Processing via DB-OS Co-designed Buffer: Cross-Engine Isolation and Tunable Update Visibility for HTAP 2026 SIGMOD 4.9605343e-05
10,605 Marlin: Efficient Coordination for Autoscaling Cloud DBMS 2026 SIGMOD 4.9605343e-05
10,643 Focus! Fast On-disk Concurrency-control Using Sketches 2026 SIGMOD 4.9605343e-05
10,730 Making LSM-Tree-based Key-Value Store Practical and Efficient for Multi-Tenant Serverless Cloud Databases 2026 SIGMOD 4.9605343e-05
10,740 Performant Synchronization in Geo-Distributed Databases 2026 SIGMOD 4.9605343e-05
10,750 Reducing Tail Latency in Storage-Disaggregated Database Systems 2026 SIGMOD 4.9605343e-05
10,765 FlatStor: An Efficient Embedded-Index Based Columnar Data Layout for Multimodal Data Workloads 2026 VLDB 4.9605343e-05
10,812 OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning 2026 VLDB 4.9605343e-05
10,904 BtrLog: Low-Latency Logging for Cloud Database Systems 2026 VLDB 4.9605343e-05
10,967 Tidehunter: Large-Value Storage With Minimal Data Relocation 2026 VLDB 4.9605343e-05
10,972 Enhancing Database Write Performance with the Write Operation Pushdown Framework 2026 VLDB 4.9605343e-05
10,973 K2+: A Multi-Region OLTP Database with Disaggregated Storage for High Availability and Strong Consistency 2026 VLDB 4.9605343e-05
10,991 OceanBase Bacchus: A High-Performance and Scalable Cloud-Native Shared Storage Architecture for Multi-Cloud 2026 VLDB 4.9605343e-05
11,000 Seron: Smart Query Router for Multi-Primary Cloud-Native Databases with Shared Storage 2026 VLDB 4.9605343e-05
11,013 Lakebase: Serverless Postgres over Open Lake Storage 2026 VLDB 4.9605343e-05
11,017 Salesforce Database: A Cloud-Native Multi-Tenant OLTP Database 2026 VLDB 4.9605343e-05
11,133 Terark-DS: A High-Performance and Storage-Efficient Key-Value Separation Storage Engine on Disaggregated Storage 2026 VLDB 4.9605343e-05
11,172 Boosting OLTP Performance with Per-Page Logging on NVDIMM 2025 SIGMOD 4.9605343e-05
11,241 Fifty Years of Transaction Processing Research 2025 SIGMOD 4.9605343e-05
11,345 Fair Transaction Processing for Multi-Tenant Databases 2025 VLDB 4.9605343e-05
11,494 Analyzing Near-Network Hardware Acceleration with Co-Processing on DPUs 2025 VLDB 4.9605343e-05
11,671 Native Distributed Databases: Problems, Challenges and Opportunities 2024 VLDB 4.9605343e-05
11,710 Eventual Durability 2024 VLDB 4.9605343e-05
11,753 MRVs: Enforcing Numeric Invariants in Parallel Updates to Hotspots with Randomized Splitting 2023 SIGMOD 4.9605343e-05
11,873 Decoupled Transactions: Low Tail Latency Online Transactions Atop Jittery Servers 2022 CIDR 4.9605343e-05
11,985 AnyDB: An Architecture-less DBMS for Any Workload 2021 CIDR 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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