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Taurus Database: How to be Fast, Available, and Frugal in the Cloud

Summary: Multi-tenant cloud DBaaS with compute–storage separation; read replicas, low network use, hardware sharing, and scalable performance. Contributions: novel replication/recovery for higher availability with few replicas; append-only storage with single-hop paths; detailed storage-node architecture not previously published. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5951
Venue
SIGMOD
Year
2020
Pagerank
7.6231159e-05
Overall Rank
3,226 | 77.87%
DOI
10.1145/3318464.3386129

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{depoutovitch_sigmod20,
        title = {{Taurus Database: How to be Fast, Available, and Frugal in the Cloud}},
        author = {Depoutovitch, Alex and Chen, Chong and Chen, Jin and Larson, Paul and Lin, Shu and Ng, Jack and Cui, Wenlin and Liu, Qiang and Huang, Wei and Xiao, Yong and He, Yongjun},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3386129},
        url = {https://dl.acm.org/doi/10.1145/3318464.3386129},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 22 of 22 citing papers.

Rank Citing Paper Year Venue Pagerank
3,758 Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store 2021 SIGMOD 7.1471346e-05
5,109 The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation 2023 VLDB 6.3615847e-05
5,477 PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba 2023 SIGMOD 6.2051869e-05
5,739 Taurus MM: bringing multi-master to the cloud 2023 VLDB 6.1036095e-05
5,805 Diva: Making MVCC Systems HTAP-Friendly 2022 SIGMOD 6.0822211e-05
6,529 ArkDB: A Key-Value Engine for Scalable Cloud Storage Services 2021 SIGMOD 5.8501325e-05
7,072 Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP 2024 VLDB 5.7107965e-05
7,341 Understanding the Performance Implications of the Design Principles in Storage-Disaggregated Databases 2024 SIGMOD 5.6390976e-05
7,873 GaussDB: A Cloud-Native Multi-Primary Database with Compute-Memory-Storage Disaggregation 2024 VLDB 5.5257163e-05
7,901 Cloud Databases: New Techniques, Challenges, and Opportunities 2022 VLDB 5.5185913e-05
8,381 Pasha: An Efficient, Scalable Database Architecture for CXL Pods 2025 CIDR 5.4377136e-05
9,468 Disaggregated State Management in Apache Flink 2.0 2025 VLDB 5.2634238e-05
9,667 HiEngine: How to Architect a Cloud-Native Memory-Optimized Database Engine 2022 SIGMOD 5.2401605e-05
9,768 CDSBen: Benchmarking the Performance of Storage Services in Cloud-native Database System at ByteDance 2023 VLDB 5.2212078e-05
9,896 VeriTxn: Verifiable Transactions for Cloud-Native Databases with Storage Disaggregation 2023 SIGMOD 5.1997534e-05
9,950 CloudJump: Optimizing Cloud Databases for Cloud Storages 2022 VLDB 5.1915905e-05
10,321 Marlin: Efficient Coordination for Autoscaling Cloud DBMS 2026 SIGMOD 5.093636e-05
10,491 Reducing Tail Latency in Storage-Disaggregated Database Systems 2026 SIGMOD 5.093636e-05
10,688 CloudJump II: Optimizing Cloud Databases for Shared Storage 2025 SIGMOD 5.093636e-05
11,015 Freely Moving Between the OLTP and OLAP Worlds: Hermes – an High-Performance OLAP Accelerator for MySQL 2025 VLDB 5.093636e-05
11,016 AnalyticDB-PG: A Cloud-native High-performance Data Warehouse in Alibaba Cloud 2025 VLDB 5.093636e-05
11,685 Toto - Benchmarking the Efficiency of a Cloud Service 2021 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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