Work

Multi-model Databases: A New Journey to Handle the Variety of Data

Year: 2019

Type: article

Abstract: The variety of data is one of the most challenging issues for the research and practice in data management systems. The data are naturally organized in different formats and models, including structured data, semi-structured data, and unstructured data. In this survey, we introduce the area of multi-model DBMSs that build a single database platform to manage multi-model data. Even though multi-model databases are a newly emerging area, in recent years, we have witnessed many database systems to embrace this category. We provide a general classification and multi-dimensional comparisons for the most popular multi-model databases. This comprehensive introduction on existing approaches and open problems, from the technique and application perspective, make this survey useful for motivating new multi-model database approaches, as well as serving as a technical reference for developing multi-model database applications.

Source: ACM Computing Surveys

DOI: 10.1145/3323214

Authors: Jiaheng Lu, Irena Holubová

Institutions: University of Helsinki, Charles University

Language: English

Topic: Advanced Database Systems and Queries

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Academy of Finland

Award: G7864986337