Native Distributed Databases: Problems, Challenges and Opportunities

Quanqing Xu, Chuanhui Yang*, Aoying Zhou

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

Native distributed databases, crucial for scalable applications, offer transactional and analytical prowess but face data intricacies and network challenges. Under the CAP theorem’s constraints, latency and replication issues necessitate creative approaches to maintenance, security, and upgrades. Progress in consistency algorithms, network technology, automation, and machine learning for optimization presents significant potential. Embracing hybrid transactional/analytical processing (HTAP), these databases represent an evolutionary leap in data management, aiming to reconcile performance with the complexities inherent in distributed environments. OceanBase is introduced as a case study, and its strong TPC-C and TPC-H benchmark performances underscore Ocean- Base as a top-tier distributed database. We also discuss possible opportunities for native distributed databases.

Original languageEnglish
Pages (from-to)4219-4220
Number of pages2
JournalProceedings of the VLDB Endowment
Volume17
Issue number12
DOIs
StatePublished - 2024
Event50th International Conference on Very Large Data Bases, VLDB 2024 - Guangzhou, China
Duration: 24 Aug 202429 Aug 2024

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