论文标题
NOSQL数据库:渴望歧义
NoSQL Databases: Yearning for Disambiguation
论文作者
论文摘要
新的大数据密集型时代的苛刻要求提出了能够处理大量非结构化数据并应对传统数据库面临的挑战的灵活存储系统的需求。 NOSQL数据库以异质性是针对特定工业和业务需求量身定制的强大而多样化的数据库。但是,缺乏理论背景也会在专家中就许多NOSQL概念中的专家之间达成共识,从而导致歧义和混乱。在本文中,我们介绍了NOSQL数据库及其按数据模型类型进行分类的调查。我们还进行了基准,以比较不同的NOSQL数据库并区分其特征。此外,我们介绍了NOSQL数据库及其相关概念的歧义和混乱的主要领域,并试图消除它们。
The demanding requirements of the new Big Data intensive era raised the need for flexible storage systems capable of handling huge volumes of unstructured data and of tackling the challenges that traditional databases were facing. NoSQL Databases, in their heterogeneity, are a powerful and diverse set of databases tailored to specific industrial and business needs. However, the lack of theoretical background creates a lack of consensus even among experts about many NoSQL concepts, leading to ambiguity and confusion. In this paper, we present a survey of NoSQL databases and their classification by data model type. We also conduct a benchmark in order to compare different NoSQL databases and distinguish their characteristics. Additionally, we present the major areas of ambiguity and confusion around NoSQL databases and their related concepts, and attempt to disambiguate them.