不同云数据库性能的比较调查:SQL和NoSQL

Twana Shareef, K. Sharif, B. Rashid
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引用次数: 1

摘要

数据库的规模最近有所增加,预计将来会有更多的扩展。存储成本逐渐放缓,存储容量迅速扩大。近年来,云入侵改变了这种比较。数据库性能在市场中起着至关重要的作用。Cloud Database专注于新的、传统的数据库、特定的可伸缩性应用程序、动态设备和易用性。云数据库主要用于商业智能等工具的数据存储、检索、修改和分析。这些工具可以构建新的业务策略,并展示可伸缩性和弹性,同时在各种应用程序中使用可靠、自定义且经济高效的服务管理大量数据。本文概述了云计算、云数据库架构和类型以及数据库即服务。它还重点介绍了云计算的特征、部署和服务模型,以及评估它们所需的各种SQL和NoSQL云数据库应用程序和服务的性能和功能。它侧重于评估其性能的不同参数,例如软件可移植性的便利性、事务能力和最大存储数据量。本文的主要目的是帮助企业和个人理解云计算如何在许多应用程序中为他们提供可靠的、个性化的和具有成本效益的服务。©2022由加尔米安大学制作。这是一篇在https://creativecommons.org/licenses/by-nc/4.0/许可下的开放获取文章
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey of Comparison Different Cloud Database Performance: SQL and NoSQL
The scales in databases have recently increased, and more expansion is expected in the future. The storage costs gradually have slowed down and quickly expanded the storage capacity. Cloud intrusion has modified the comparisons in recent years. Database performance plays an essential part in the market. Cloud Database focuses on new, conventional databases, specific applications for scalability, dynamic devices, and ease of use. Cloud databases are primarily used for data storage, retrieval, modification, and analysis by tools like business intelligence. These tools can build new business strategies and demonstrate scalability and elasticity while managing vast amounts of data with reliable, customized, and cost-effective services in various applications. This paper provides an overview of cloud computing, Cloud database architecture and kinds, and database as a service. It also highlights the characteristics, deployment, and service model of cloud computing and the performance and functionality of the various SQL and NoSQL cloud database applications and services required to evaluate them. It focuses on the different parameters to assess their performance, such as ease of software portability, transaction capabilities, and the maximum amount of data stored. The primary purpose of this paper is to assist businesses and individuals in understanding how cloud computing may provide them with dependable, personalized, and cost-effective services in many applications. © 2022 Production by the University of Garmian. This is an open access article under the LICENSE https://creativecommons.org/licenses/by-nc/4.0/
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来源期刊
CiteScore
0.50
自引率
0.00%
发文量
23
审稿时长
12 weeks
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