首页> 外文会议>International Conference on Computing Methodologies and Communication >Comparative Study of MongoDB vs Cassandra in big data analytics
【24h】

Comparative Study of MongoDB vs Cassandra in big data analytics

机译:MongoDB vs Cassandra在大数据分析中的比较研究

获取原文

摘要

In recent years, huge data is generating which needs large distributed databases to handle this massive amount of data. In general, relational databases were popularly used for many applications as it contains some rich set of features and transaction management capability. Yet, they are not efficient for storing and processing Big Data. Also, rapid growths happening in database models as these traditional relational databases are not capable to handle such vast data volumes. As Relational databases have several drawbacks, the requirement of novel technologies has emerged, that motivates developers migrate to Not Only SQL (NoSQL) databases. The key aim of this study is to make a review on capability of data storage and read/write performance in MongoDB vs Cassandra.
机译:近年来,巨大的数据正在生成需要大的分布式数据库来处理这种大量数据。 通常,关系数据库普遍用于许多应用程序,因为它包含一些丰富的功能和事务管理能力。 然而,它们不高效地存储和处理大数据。 此外,数据库模型中发生的快速增长,因为这些传统的关系数据库无法处理这种庞大的数据卷。 由于关系数据库具有多个缺点,因此出现了新颖技术的要求,该技术激励开发人员不仅迁移到SQL(NoSQL)数据库。 本研究的关键目标是审查MongoDB VS Cassandra中的数据存储和读/写性能的能力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号