Multi-model Databases

Author:

Lu Jiaheng1ORCID,Holubová Irena2ORCID

Affiliation:

1. Department of Computer Science, University of Helsinki, Gustaf Hällströmin katu, Finland

2. Department of Software Engineering, Charles University, Prague, Praha, Czech Republic

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.

Funder

Academy of Finland

MSMT CR

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference112 articles.

1. A survey and experimental comparison of distributed SPARQL engines for very large RDF data

2. HadoopDB

3. Aerospike Inc. 2012. Aerospike Acquires AlchemyDB NewSQL Database. Retrieved from: http://www.aerospike.com/uncategorized/aerospike-acquires-alchemydb-newsql-database-to-build-on-predictable-speed-and-web-scale-data-management-of-aerospike-real-time-nosql-database-2/. Aerospike Inc. 2012. Aerospike Acquires AlchemyDB NewSQL Database. Retrieved from: http://www.aerospike.com/uncategorized/aerospike-acquires-alchemydb-newsql-database-to-build-on-predictable-speed-and-web-scale-data-management-of-aerospike-real-time-nosql-database-2/.

4. RHEEM: enabling cross-platform data processing

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