Title :
Dynamo and BigTable — Review and comparison
Author :
Weintraub, Grisha
Author_Institution :
Dept. of Math. & Comput. Sci., Open Univ., Raanana, Israel
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;
Conference_Titel :
Electrical & Electronics Engineers in Israel (IEEEI), 2014 IEEE 28th Convention of
Conference_Location :
Eilat
Print_ISBN :
978-1-4799-5987-7
DOI :
10.1109/EEEI.2014.7005771