International Journal For Multidisciplinary Research

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NoSQL Technologies in Big Data Ecosystems: a Comprehensive Review of Architectural Paradigms and Performance Metrics

Author(s) Chirag Gajiwala
Country United States
Abstract The exponential growth of data in volume, velocity, and variety has challenged traditional relational database management systems, leading to the emergence and widespread adoption of NoSQL and other innovative database technologies. This article provides a comprehensive review of NoSQL databases and their role in modern Big Data infrastructure stacks. Through a systematic analysis of current literature and industry case studies, we explore the architectural paradigms, performance metrics, and use cases of various NoSQL database types, including document-based, key-value, column-family, and graph
databases. Our findings indicate that NoSQL solutions offer significant advantages in scalability, flexibility, and real-time processing capabilities, particularly for unstructured and semi-structured data.
However, challenges persist in areas such as data consistency, security, and interoperability with existing systems. We also examine emerging trends, including NewSQL, time-series databases, and the integration
of artificial intelligence in database management. This article contributes to the understanding of how organizations can leverage NoSQL technologies to optimize their Big Data infrastructure, highlighting both the opportunities and considerations for implementation. Our conclusions underscore the
transformative impact of NoSQL on data management practices and provide directions for future research in this rapidly evolving field.
Keywords Keywords: NoSQL Databases, Big Data Infrastructure, Data Management, Scalable Database Systems, Distributed Data Processing.
Field Computer
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-10-31
Cite This NoSQL Technologies in Big Data Ecosystems: a Comprehensive Review of Architectural Paradigms and Performance Metrics - Chirag Gajiwala - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.29547
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.29547
Short DOI https://doi.org/g8p2vk
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