• DocumentCode
    1793285
  • Title

    Dynamo and BigTable — Review and comparison

  • Author

    Weintraub, Grisha

  • Author_Institution
    Dept. of Math. & Comput. Sci., Open Univ., Raanana, Israel
  • fYear
    2014
  • fDate
    3-5 Dec. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    For a long time, relational database management systems have been the only solution for persistent data storage. However, with the phenomenal growth of data, this conventional way of storing has become problematic. To manage the exponentially growing data volumes, the largest information technology companies, such as Google and Amazon, have developed alternative solutions that store data in what have come to be known as NoSQL databases. Some of the NoSQL features are flexible schema, horizontal scaling and relaxed consistency. NoSQL databases store and replicate data in distributed systems, thereby achieving scalability and high availability. In this paper two NoSQL databases are reviewed and compared: Amazon´s Dynamo and Google´s BigTable.
  • Keywords
    SQL; relational databases; replicated databases; storage management; Amazon; BigTable; Dynamo; Google; NoSQL databases; data replication; data storage; flexible schema; horizontal scaling; relational database management systems; relaxed consistency; Availability; Data models; Distributed databases; File systems; Generators; Servers; Cloud Storage; Database Management Systems; Distributed Databases; NoSQL;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Electronics Engineers in Israel (IEEEI), 2014 IEEE 28th Convention of
  • Conference_Location
    Eilat
  • Print_ISBN
    978-1-4799-5987-7
  • Type

    conf

  • DOI
    10.1109/EEEI.2014.7005771
  • Filename
    7005771