IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i2idhcseit1722300.html

Improving Scalability and Performance of Application

Author

Listed:
  • K. Saranya
  • N.Anandh

Abstract

Now-a-days, most of the enterprise and web application is using the conventional database which is Oracle DB. Oracle Database is uses a table structured data storing methodology. Because of that accessing tables to get the relevant data will be faster. But if the table column needs to be updated or a new column needs to be added then it adds up extra queries and additional work to the developer. MongoDB is an open-source document database, and leading NoSQL database. MongoDB is written in c++ . MongoDB is a cross-platform, document oriented database that provides, high performance, high availability, and easy scalability. MongoDB works on concept of collection and document. Collection is a group of MongoDB documents. It is the equivalent of an RDBMS table. A collection exists within a single database. Collections do not enforce a schema. Documents within a collection can have different fields. Typically, all documents in a collection are of similar or related purpose. A document is a set of key-value pairs. Documents have dynamic schema. Dynamic schema means that documents in the same collection do not need to have the same set of fields or structure, and common fields in a collection's documents may hold different types of data.AngularJs is advanced javascript which helps in many ways to access the mongodb directly from the front end. And it help the application to gain scalability and performance.

Suggested Citation

  • K. Saranya & N.Anandh, 2017. "Improving Scalability and Performance of Application," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(2), pages 906-909, April.
  • Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722300
    Note: Article URL: https://ijsrcseit.com/CSEIT1722300
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT1722300
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT1722300.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722300. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.