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Analysis of Query Processing on Different Databases

  • Mohammed Salahat
  • , Muhammad Ahsan Raza
  • , Zuha Khawar
  • , Javaid Ahmad Malik
  • , Hammad Raza
  • , Harish K.G. Nair
  • , Muath Jarrah
    • University of Fujairah
    • University of Education
    • Bahauddin Zakariya University
    • NCBA&E
    • Applied Science Private University
    • Skyline University College

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    The most trustworthy method for categorizing data into updateable and searchable collections in modern times is database management systems. However, there are different DBMS systems available, and each has its own pros and cons regarding dependability, use, performance, and its security. The performance of the main DBMS systems is compared in this paper. Oracle, MS SQL Server, MS Access, MySQL and IBM DB2 are the prominent ones. The five DBMSs under examination will be subjected to a variety of SQL queries with varying levels of complexity. After the test, this would make it possible to create a comparison analysis among them that displays the average execution time of each DBMS.

    Original languageEnglish
    Title of host publication2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9798350335644
    DOIs
    StatePublished - 2023
    Event2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023 - Dubai, United Arab Emirates
    Duration: 7 Mar 20238 Mar 2023

    Publication series

    Name2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023

    Conference

    Conference2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023
    Country/TerritoryUnited Arab Emirates
    CityDubai
    Period7/03/238/03/23

    Keywords

    • Database Management System
    • Query processing
    • style

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