Disaggregation: A New Architecture for Cloud Databases

Summary: Surveys disaggregation as a cloud-database architecture that separates components into independently scalable services, enabling elasticity, pooling, and cost efficiency. It synthesizes redesign efforts and identifies open research challenges in this still-nascent paradigm. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 14384
Venue: VLDB
Year: 2025
Pagerank: 5.093636e-05
Overall Rank: 11,070 | 24.05%
DOI: 10.14778/3750601.3760520

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Xiangyao Yu (University of Wisconsin)

BibTeX Citation

@article{yu_vldb25,
        title = {{Disaggregation: A New Architecture for Cloud Databases}},
        author = {Yu, Xiangyao},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {12},
        pages = {5527--5530},
        doi = {10.14778/3750601.3760520},
        url = {https://doi.org/10.14778/3750601.3760520},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
66	The Snowflake Elastic Data Warehouse	2016	SIGMOD	0.00038561587
73	Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases	2017	SIGMOD	0.00037333356
520	Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores	2020	VLDB	0.00017136828
604	Socrates: The New SQL Server in the Cloud	2019	SIGMOD	0.0001584774
818	Amazon Redshift Re-invented	2022	SIGMOD	0.00013822916
1,130	Query Processing on Smart SSDs: Opportunities and Challenges	2013	SIGMOD	0.00012052236
1,138	Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics	2021	CIDR	0.00012023643
1,312	Hybrid Transactional/Analytical Processing: A Survey	2017	SIGMOD	0.00011193166
1,463	Amazon Aurora: On Avoiding Distributed Consensus for I/Os, Commits, and Membership Changes	2018	SIGMOD	0.00010700936
1,584	PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers	2021	SIGMOD	0.0001028934
3,071	Choosing A Cloud DBMS: Architectures and Tradeoffs	2019	VLDB	7.7885156e-05
3,632	FlexPushdownDB: Hybrid Pushdown and Caching in a Cloud DBMS	2021	VLDB	7.2368817e-05
4,200	Disaggregating RocksDB: A Production Experience	2023	SIGMOD	6.835902e-05
4,726	Computational Storage: Where Are We Today?	2021	CIDR	6.5364137e-05
5,536	Database Processing-in-Memory: An Experimental Study	2020	VLDB	6.1822684e-05
5,705	Cornus: Atomic Commit for a Cloud DBMS with Storage Disaggregation	2023	VLDB	6.1145567e-05
9,774	Hermes: Off-the-Shelf Real-Time Transactional Analytics	2025	VLDB	5.2209769e-05
10,118	Rethinking Analytical Processing in the GPU Era	2026	CIDR	5.093636e-05
10,321	Marlin: Efficient Coordination for Autoscaling Cloud DBMS	2026	SIGMOD	5.093636e-05

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