Publication

Perseus: Achieving Strong Consistency and High Data Freshness for Scalable Geo-distributed HTAP

The rise of global data-driven applications has made geo-distributed hybrid transactional and analytical processing (HTAP) databases increasingly desirable. Existing distributed HTAP systems either provide weak consistency or incur bad data freshness when deployed geographically. Perseus achieves strong consistency and high data freshness simultaneously.

VLDB 2025 (PACMMOD) / 2025

HTAPgeo-distributedconsistencydatabase

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Authors

Haoze Song, Xusheng Chen, Ruijie Gong, Zekai Sun, Tianxiang Shen, Cheng Li, Hao Feng, Sen Wang, Heming Cui

Abstract

Perseus is a scalable HTAP database that enforces strong consistency for both transactions and analytical queries across geo-distributed deployments, addressing the tension between consistency and freshness in distributed HTAP systems.