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  • 标题:BigTable, Dynamo & Cassandra – A Review
  • 本地全文:下载
  • 作者:Kala Karun A ; Subu Surendran
  • 期刊名称:International Journal of Electronics and Computer Science Engineering
  • 电子版ISSN:2277-1956
  • 出版年度:2013
  • 卷号:2
  • 期号:1
  • 页码:133-140
  • 出版社:Buldanshahr : IJECSE
  • 摘要:The main aspect of NoSQL data stores is “shared nothing” horizontal scaling, which enables them to support a large number of simple read/write operations per second. Most of the NoSQL data stores generally do not provide strict ACID properties. The idea is that by giving up strict ACID constraints high performance and scalability can be achieved. The objective of this paper is to study and compare the features of the most popular NoSQL data stores like Bigtable (used in Google), Dynamo (used in Amazon) and Cassandra (used in Facebook). The significance of these data stores is that most of the NoSQL data stores available today are developed using the concepts put forwarded by Bigtable and Dynamo. They can be considered as the foundation stones of today’s NoSQL data stores.
  • 关键词:NoSQL; Eventual Consistency; Partitioning.
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