Dynamo and BigTable - Review and comparison

Grisha Weintraub

doi:10.1109/EEEI.2014.7005771

Dynamo and BigTable - Review and comparison

Grisha Weintraub

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

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.

Original language	English
Title of host publication	2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781479959877
DOIs	https://doi.org/10.1109/EEEI.2014.7005771
State	Published - 1 Jan 2014
Externally published	Yes
Event	2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 - Eilat, Israel Duration: 3 Dec 2014 → 5 Dec 2014

Publication series

Name	2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014

Conference

Conference	2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
Country/Territory	Israel
City	Eilat
Period	3/12/14 → 5/12/14

Keywords

Cloud storage
Database management systems
Distributed databases
NoSQL

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/EEEI.2014.7005771

Cite this

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title = "Dynamo and BigTable - Review and comparison",

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 = "Cloud storage, Database management systems, Distributed databases, NoSQL",

author = "Grisha Weintraub",

note = "Publisher Copyright: {\textcopyright} Copyright 2015 IEEE All rights reserved.; 2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 ; Conference date: 03-12-2014 Through 05-12-2014",

year = "2014",

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doi = "10.1109/EEEI.2014.7005771",

language = "English",

series = "2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014",

publisher = "Institute of Electrical and Electronics Engineers",

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}

Weintraub, G 2014, Dynamo and BigTable - Review and comparison. in 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014., 7005771, 2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014, Institute of Electrical and Electronics Engineers, 2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014, Eilat, Israel, 3/12/14. https://doi.org/10.1109/EEEI.2014.7005771

Dynamo and BigTable - Review and comparison. / Weintraub, Grisha.
2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014. Institute of Electrical and Electronics Engineers, 2014. 7005771 (2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Dynamo and BigTable - Review and comparison

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this