Statistical analysis of factors that influences the evaluation and adoption of multi-tenant databases

Olumuyiwa Oluwafunto Matthew, Kevan Buckley, Mary Garvey

Research output: Contribution to journalArticlepeer-review


Multi-tenant Databases (MTD) are implemented in the deployment of database management services to Information Technology (IT) platform users. A database service provider hosts the Multi-tenant Database Management System (MTDMS) and each tenant subscribes to the service through a standard method such as a web service. Improved groupings of the factors that influence the adoption of MTDs are presented in this paper. A survey is presented here that involves forty one experts from the field of databases. A predictive analytical method called Relative Importance Index (RII) and other statistical tools have been adopted in the analysis. The result has led to the new framework in the adoption of MTDs. The research also considers the direction of decisions about MTDs in situations where two or more factors are combined. A new improved MTD framework is presented that improves the decision making process of MTD adoption.
Original languageEnglish
Pages (from-to)85-95
Number of pages11
JournalInternational Journal of Computer Trends and Technology (IJCTT)
Issue number2
Publication statusPublished - 1 Jul 2016


  • multi-tenant database
  • multi-tenet database management system
  • predictive analytical method
  • relative importance index
  • framework


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