Scalability and Performance in Document-Oriented NoSQL Databases

Authors

  • Yousef Rahimy Akhondzadeh Master in Computer Engineering – Software (Department of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran) Author

Keywords:

Non-Relational Databases, NoSQL Databases, Document-Oriented Databases, Scalability in Databases

Abstract

Document-based NoSQL databases have been widely accepted in modern applications due to their flexible schemas, high scalability, and strong performance in distributed systems. This article examines how document-oriented NoSQL databases such as MongoDB and Couchbase provide scalable and high-performance solutions for companies that manage large volumes of unstructured or semi-structured data. We will explore the key features of this architecture, namely scalability and performance optimization, which enable things like horizontal scaling, replication, and indexing strategies. In addition to these, we also analyze their use cases in different industries to show the impact of these databases in the real world on the development of modern applications.

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Author Biography

  • Yousef Rahimy Akhondzadeh, Master in Computer Engineering – Software (Department of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran)

      

References

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[9] “MongoDB Indexes”, MongoDB Documentation (2023).

[10] “Index Storage Settings”, Couchbase Documentation (2023).

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Published

2024-12-21

How to Cite

Scalability and Performance in Document-Oriented NoSQL Databases. (2024). Development Engineering Conferences Center Articles Database, 1(5). https://pubs.bcnf.ir/index.php/Articles/article/view/253