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  • 1.
    Persson, Peter
    et al.
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Sjölin, Johan
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Dahlberg, Thomas
    Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
    Databaser i molnet: En prestanda utvärdering2012Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Abstract

    As a developer of database-driven applications you will be faced with difficult choices, when it comes to choosing database, server and programming language. For the result to be satisfactory it requires the different techniques to interact well with each other and also fulfill performance expectations. This is even more important when the application is deployed to the cloud and the response time plays a major role.This paper evaluates different databases and their performance. To test the databases there was an application made in the server script language PHP or Hypertext Preprocessor and it was deployed to Windows Azure cloud platform. The test applications task is to call and load databases by controlled requests which creates, reads, updates and deletes data in an relatively large extent.The results shows that locale databases or databases in the same data center as the server generates the fastest response. The diffrence between NoSQL and SQL is practically nothing when it comes to simple requests. The type of data and the type of usage are major factors in the choice between the two databases.This paper works as a guidance in the choice of database for development of applications in the cloud.

    Keywords: SQL, NoSQL, databas, cloud, Azure, CouchDB, IrisCouch, database.com, databaseperformance

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