NoSQL Databases: Modern Data Systems for Big Data Analytics-Features, Categorization and Comparison

被引：0

作者：

Thakare, Atul O. ^{[1
]}

Tembhurne, Omprakash W. ^{[2
]}

Thakare, Abhijeet R. ^{[3
]}

Reddy, Soora Narasimha ^{[4
]}

机构：

[1] Koneru Lakshmaiah Educ Fdn, CSE Dept, Guntur, Andhra Prades, India

[2] MIT Art Design & Technol Univ, Sch Comp, Pune, Maharashtra, India

[3] Shri Ramdeobaba Coll Engn & Management, MCA Dept, Nagpur, Maharashtra, India

[4] Kakatiya Inst Technol & Sci, CSE Dept, Warangal, Telangana, India

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING SYSTEMS | 2023年 / 14卷 / 02期

关键词：

Unstructured Data; NoSQL Database; Horizontal Scaling; Vertical Scaling; CAP Theorem; Weak Consistency; SQL;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Because of the massive utilization of the world wide web and the drastic use of electronic gadgets to access the online world, there is an exponential growth in the information produced by these hardware gadgets. The data produced by different sources, such as smart transportation, healthcare, and e-commerce, are large, complex, and heterogeneous. Therefore, storing and querying this data, coined "Big Data, " is challenging. This paper compares relational databases with a few of the popular NoSQL databases. The performance of various databases in executing join queries, filter queries, and aggregate queries on large datasets are compared on a single node and multinode clusters. The experimental results demonstrate the suitability of NoSQL databases for Big Data Analytics and for supporting large userbase interactive web applications.

引用

页码：207 / 216

页数：10

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