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
Link To Document