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dc.contributor.authorBhamra, Kavita
dc.date.accessioned2018-01-17T12:54:29Z
dc.date.available2018-01-17T12:54:29Z
dc.date.issued2017-11
dc.date.submitted2018-01-02T23:00:04Z
dc.identifier.urihttps://hdl.handle.net/1956/17228
dc.description.abstractNoSQL is a group of database technologies that emerged due to the limitations of relational databases. The number of NoSQL technologies has increased over time to encompass hundreds of different technologies. The many NoSQL databases are, unlike relational databases, not based on a standardised data model, query language, or a common way of thinking. Also, the NoSQL field brings forth some new concepts and challenges that were not present in the relational context. It can, therefore, be difficult to choose the right NoSQL technology for a particular application. This thesis analyses and compares two specific NoSQL database systems, MongoDB and Apache Cassandra, to simplify the selection process. There are several important factors to consider when deciding on a NoSQL technology. The purpose of this comparison is to outline what factors are useful to consider when selecting a technology. The discussion is mostly based on an extensive literature review. In the end, several factors were stressed, like the potential technology's data model, CAP classification, and available documentation, to name a few.en_US
dc.language.isoengeng
dc.publisherThe University of Bergenen_US
dc.subjectcassandraeng
dc.subjectmongodbeng
dc.subjectnosqleng
dc.titleA Comparative Analysis of MongoDB and Cassandraen_US
dc.typeMaster thesis
dc.date.updated2018-01-02T23:00:04Z
dc.rights.holderCopyright the Author. All rights reserveden_US
dc.description.degreeMasteroppgave i informatikken_US
dc.description.localcodeINF399
dc.subject.nus754199eng
fs.subjectcodeINF399
fs.unitcode12-12-00


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