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

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dc.contributor University of Helsinki, Department of Computer Science en
dc.contributor.author Lu, Jiaheng
dc.contributor.author Holubová, Irena
dc.date.accessioned 2019-07-01T12:39:01Z
dc.date.available 2019-07-01T12:39:01Z
dc.date.issued 2019-07
dc.identifier.citation Lu , J & Holubová , I 2019 , ' Multi-model Databases : A New Journey to Handle the Variety of Data ' , ACM Computing Surveys , vol. 52 , no. 3 , 55 . https://doi.org/10.1145/3323214 en
dc.identifier.issn 0360-0300
dc.identifier.other PURE: 125385205
dc.identifier.other PURE UUID: 62652166-3cdc-4bef-9da1-b2c0e4d448ac
dc.identifier.other ORCID: /0000-0003-2067-454X/work/59203449
dc.identifier.other WOS: 000481570600012
dc.identifier.uri http://hdl.handle.net/10138/303698
dc.description.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. en
dc.format.extent 38
dc.language.iso eng
dc.relation.ispartof ACM Computing Surveys
dc.rights en
dc.subject 113 Computer and information sciences en
dc.title Multi-model Databases : A New Journey to Handle the Variety of Data en
dc.type Article
dc.description.version Peer reviewed
dc.identifier.doi https://doi.org/10.1145/3323214
dc.type.uri info:eu-repo/semantics/other
dc.type.uri info:eu-repo/semantics/acceptedVersion
dc.contributor.pbl
dc.contributor.pbl

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