Fast Vector Search in PostgreSQL: A Decoupled Approach

Summary: PostgreSQL-V decouples vector indexes from PostgreSQL's page-oriented core to directly leverage native high-performance vector index libraries, avoiding legacy overhead of prior integrated designs. Employs a lightweight consistency mechanism and matches specialized DB speed, up to 8.9x vs pgvector. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 580
Venue: CIDR
Year: 2026
Pagerank: 4.1945683e-05
Overall Rank: 9,978 | 30.59%
DOI: -

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,160	Efficient Vector Index Merging in Vector Databases	2026	SIGMOD	4.1945683e-05
10,202	Reducing Tail Latency in Storage-Disaggregated Database Systems	2026	SIGMOD	4.1945683e-05

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
156	Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases	2017	SIGMOD	0.00040504295
495	Milvus: A Purpose-Built Vector Data Management System	2021	SIGMOD	0.00021767688
736	AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data	2020	VLDB	0.00017447617
918	Socrates: The New SQL Server in the Cloud	2019	SIGMOD	0.00015350181
1,636	PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension	2020	SIGMOD	0.00011053863
3,680	SingleStore-V: An Integrated Vector Database System in SingleStore	2024	VLDB	6.8496415e-05
7,628	Understanding the Performance Implications of the Design Principles in Storage-Disaggregated Databases	2024	SIGMOD	4.692459e-05
7,808	CaaS-LSM: Compaction-as-a-Service for LSM-based Key-Value Stores in Storage Disaggregated Infrastructure	2024	SIGMOD	4.6455813e-05
13,170	Vector Databases: What’s Really New and What’s Next? (VLDB 2024 Panel)	2024	VLDB	-

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