What question did this study set out to answer?

The aim is to correct and clarify previous information regarding serverless vector databases and their efficiency through data partitioning.

April 10, 2026Proceedings of the ACM on Management of Data0 citations

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Corrigendum: Building Efficient Serverless Vector DBs via Block-based Data Partitioning: Experiments & Analysis

DBDaniel Barcelona-Pons RGRaúl Gracia-Tinedo ACAlbert Cañadilla-Domingo

Key Points

The aim is to correct and clarify previous information regarding serverless vector databases and their efficiency through data partitioning.
Review of previous experiments
Analysis of block-based data partitioning techniques
Clarification of data partitioning methods
Emphasis on efficiency improvements in serverless vector DBs

Abstract

This is a corrigendum for the article ''Building Stateless Serverless Vector DBs via Block-based Data Partitioning: Experiments & Analysis'' published in Proc. ACM Manag. Data 3, 6 (SIGMOD), Article 304 (December 2025), 25 pages.

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Corrigendum: Building Efficient Serverless Vector DBs via Block-based Data Partitioning: Experiments & Analysis

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