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Performance Evaluation Between HarperDB, Mongo DB and PostgreSQL

2023Book part Open access
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dc.contributor.authorFigueiredo, Figueiredo
dc.contributor.authorCardoso, Filipe
dc.contributor.authorSaraiva, Goncalo
dc.contributor.authorRebelo, João
dc.contributor.authorRodrigues, Ricardo
dc.contributor.authorWanzeller, Cristina
dc.contributor.authorMartins, Pedro
dc.contributor.authorAbbasi, Maryam
dc.date.accessioned2024-01-10T10:11:07Z
dc.date.available2024-01-10T10:11:07Z
dc.date.issued2023
dc.description.abstractSeveral modern-day problems, like information overload and big data, need to deal with large amounts of data. As such, to meet the application requirements, for instance, performance and consistency, more and more systems are adapting to the specificities. The existing Relational Database Management System (RDBMS)’s the processing of massive data has become an issue because these databases do not deal with a massive amount of data. NoSQL is a database management system that makes processing massive and/or unstructured data easier because it uses key-value to store the data, collections or document stores instead of tables. Many companies today tend to start a project using NoSQL. However, HarperDB aims to produce a relational and nonrelational DBMS, allowing developers to choose between different solutions. This paper aims to show the most relevant differences between HarperDB, MongoDB and PostgreSQL and compare their performances. Preliminary results show that PostgreSQL performs better with structured data, but HarperDB can integrate NoSQL and SQL, which can be a significant advantage to HarperDB compared to the other solutions.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFigueiredo, D., Saraiva, G., Rebelo, J.,Rodrigues, R., Cardoso, F., Wanzeller, C., Martins, P. & Abbasi, M. (2023). Performance Evaluation Between HarperDB, Mongo DB and PostgreSQL. In J. L. Reis, M. Del Rio Araujo, L. P. Reis, J.P.M. dos Santos (Eds), Marketing and Smart Technologies. ICMarkTech 2022 : Vol. 344. Smart Innovation, Systems and Technologies (pp. 85–94). Springer, Singapore. https://doi.org/10.1007/978-981-99-0333-7_7pt_PT
dc.identifier.doihttps://doi.org/10.1007/978-981-99-0333-7_7pt_PT
dc.identifier.isbn978-981-99-0333-7
dc.identifier.urihttp://hdl.handle.net/10400.15/4675
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-981-99-0333-7_7pt_PT
dc.subjectRDBMSpt_PT
dc.subjectNoSQLpt_PT
dc.subjectPostgreSQLpt_PT
dc.subjectMongoDBpt_PT
dc.subjectHarperDBpt_PT
dc.subjectPerformancept_PT
dc.titlePerformance Evaluation Between HarperDB, Mongo DB and PostgreSQLpt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.conferencePlaceUniversity of Santiago de Compostela, Spainpt_PT
oaire.citation.endPage94pt_PT
oaire.citation.startPage85pt_PT
oaire.citation.titleICMarkTech 2022 : International Conference on Marketing and Technologiespt_PT
oaire.citation.volume337pt_PT
person.familyNameGonçalves Cardoso
person.givenNameFilipe
person.identifier19-AQJEAAAAJ
person.identifier.ciencia-id8219-19E8-C070
person.identifier.orcid0000-0002-3916-5182
person.identifier.scopus-author-id57486516500
rcaap.rightsopenAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublicationf108cbea-41e4-459d-86e3-3225c293e4a6
relation.isAuthorOfPublication.latestForDiscoveryf108cbea-41e4-459d-86e3-3225c293e4a6

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