Al-shatrat_2021System and Metric Analysis Comparison of Neo4j and Microsoft Azure Cosmos DB

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dc.contributor.authorAl-shatrat, Mohammad
dc.contributor.authorMills, Jeffery
dc.contributor.authorStreet, Brian
dc.date.accessioned2021-09-01T18:41:08Z
dc.date.available2021-09-01T18:41:08Z
dc.date.created2021
dc.description2021 Celebration of Student Research and Creativity presentationen_US
dc.description.abstract"Graph databases provide a powerful solution for designing databases to store and retrieve relationship dense datasets such as in social media and recommendation engines. Two of the leading graph database implementations used in mainstream application development are Microsoft Azure Cosmos DB and Neo4j, each with their own benefits and drawbacks. In this paper, we test and compare the results of both offerings, focusing on key performance metrics like response speed, scalability, and cost, paired with an analysis of unique feature sets to identify which is the better option for application development."en_US
dc.description.urihttps://youtu.be/vGUQNM7Sun0en_US
dc.identifier.urihttp://hdl.handle.net/11216/3962
dc.language.isoen_USen_US
dc.publisherNorthern Kentucky Universityen_US
dc.relation.ispartofseriesCelebration of Student Research and Creativity;2021
dc.subjectGraph databasesen_US
dc.subjectBig dataen_US
dc.subjectMicrosoft Azure (Computing platform)en_US
dc.titleAl-shatrat_2021System and Metric Analysis Comparison of Neo4j and Microsoft Azure Cosmos DBen_US
dc.typePresentationen_US

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Student Research and Creativity