UDBMS: Road to Unification for Multi-model Data Management

Jiaheng Lu, Zhen Hua Liu, Pengfei Xu, Chao Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


One of the greatest challenges in big data management is the “Variety” of the data. The data may be presented in various types and formats: structured, semi-structured and unstructured. For instance, data can be modeled as relational, key-value, and graph models. Having a single data platform for managing both well-structured data and NoSQL data is beneficial to users; this approach reduces significantly integration, migration, development, maintenance, and operational issues. Therefore, a challenging research work is how to develop an efficient consolidated single data management platform covering both NoSQL and relational data to reduce integration issues, simplify operations, and eliminate migration issues. In this paper, we envision novel principles and technologies to handle multiple models of data in one unified database system, including model-agnostic storage, unified query processing and indexes, in-memory structures and multi-model transactions. We discuss our visions as well as present research challenges that we need to address.
Original languageEnglish
Title of host publicationAdvances in Conceptual Modeling : ER 2018 Workshops Emp-ER, MoBiD, MREBA, QMMQ, SCME, Xi’an, China, October 22-25, 2018, Proceedings
EditorsCarson Woo, Jiaheng Lu, Zhanhuai Li, Tok Wang Ling, Guoliang Li, Mong Li Lee
Number of pages10
Place of PublicationCham
Publication date2019
ISBN (Print)978-3-030-01390-5
ISBN (Electronic)978-3-030-01391-2
Publication statusPublished - 2019
MoE publication typeA4 Article in conference proceedings
EventInternational Conference on Conceptual Modeling - Xi'an, China
Duration: 22 Oct 201825 Oct 2018
Conference number: 37

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fields of Science

  • 113 Computer and information sciences

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