GaussDB: Intelligent Cloud-Native Distributed Database

LI Guo-liang; WANG Lei; ZHANG Jin-yu; WANG Jiang; REN Yang; ZHANG Qiong; SHEN Yu; DONG Ya-hui; SONG Tao; QIAO Dian

doi:10.12263/DZXB.20231026

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GaussDB: Intelligent Cloud-Native Distributed Database

Special Issue: Recipients of CIE Science and Technology Awards | 更新时间：2025-07-24

- GaussDB: Intelligent Cloud-Native Distributed Database
- ACTA ELECTRONICA SINICA Vol. 53, Issue 4, Pages: 1103-1122(2025)
- 作者机构：
  
  1.清华大学计算机科学与技术系，北京 100084
  2.华为技术有限公司2012高斯实验室，北京 100085
- 作者简介：
- 基金信息：
  
  National Key Research and Development Program of China(2023YFB4503600);National Nature Science Foundation of China(61925205;62232009;62102215)
- DOI：10.12263/DZXB.20231026
  CLC： TP315;TP392
- Received：01 November 2023，
  
  Revised：2024-12-16，
  
  Published：25 April 2025
- 稿件说明：
移动端阅览
李国良, 王磊, 张金玉, 等. GaussDB：智能云原生分布式数据库[J]. 电子学报, 2025, 53(04): 1103-1122.

LI Guo-liang, WANG Lei, ZHANG Jin-yu, et al. GaussDB: Intelligent Cloud-Native Distributed Database[J]. Acta Electronica Sinica, 2025, 53(04): 1103-1122.
李国良, 王磊, 张金玉, 等. GaussDB：智能云原生分布式数据库[J]. 电子学报, 2025, 53(04): 1103-1122. DOI：10.12263/DZXB.20231026

LI Guo-liang, WANG Lei, ZHANG Jin-yu, et al. GaussDB: Intelligent Cloud-Native Distributed Database[J]. Acta Electronica Sinica, 2025, 53(04): 1103-1122. DOI：10.12263/DZXB.20231026

摘要

在互联网技术飞速发展，传统企业面临数字化转型的大背景下，作为数字时代数据基础设施，数据库面临大数据量、高可用、在线弹性伸缩、智能化、安全防护等方面的巨大挑战.为了应对诸多挑战，GaussDB应运而生，GaussDB提出分布式数据库的分布式查询优化技术提升了数据查询性能，提出分布式数据库的高可用容灾技术提升了企业数据的可用性和可靠性，提出分布式数据库的云原生计算存储分离和弹性伸缩技术提高了对存储等资源的利用率，提出分布式数据库的自治管理技术增强了数据库的智能管理，提出分布式数据库的全方位安全防护技术提高了数据的安全保护能力.GaussDB能支撑关键基础行业核心场景的数字化转型.

Abstract

With the rapid development of Internet technologies and digital transformation of traditional enterprises

databases are facing great challenges in terms of large data volume

high availability

cloud-native elasticity

intelligence

and security protection as data infrastructure in the digital age. To address these challenges

GaussDB came into being. It proposes the distributed query optimization technology of distributed databases to improve data query performance

proposes the HA disaster recovery technology of distributed databases to improve enterprise data availability and reliability

proposes the cloud-native computing and storage separation and elastic scaling technology of distributed databases to improve storage resource utilization

proposes the autonomous management technology of distributed database is proposed to enhance the intelligent management of database

and proposes the all-round security protection technology of distributed database is proposed to improve the security protection ability of data. With all these new technologies

GaussDB supports the digital transformation of core scenarios in key basic industries

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references

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