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"Why to Choose NoSQL? Types, Benefits and Use Cases"
Author Name : M. Kusuma
ABSTRACT NoSQL databases have emerged as powerful alternative databases to traditional relational databases, directing the growing demand for scalable, flexible, and high-performance data storage solutions. Unlike relational databases that rely on structured schemas and SQL queries, NoSQL databases offer a more dynamic approach, supporting a variety of data models including key-value pairs, document-based, column-family, and graph structures. These databases are particularly well-suited for handling large volumes of unstructured or semistructured data, making them ideal for applications in big data, real-time analytics, IoT, and content management systems. NoSQL databases offer significant advantages in terms of scalability, fault tolerance, and distributed architecture, allowing them to handle high-throughput workloads across multiple nodes. However, they come with trade-offs, such as eventual consistency over strict ACID compliance, which must be carefully considered depending on the use case. This paper explores the core concepts of NoSQL databases, their types, key benefits, challenges, and practical applications, providing a comprehensive understanding of their role in modern data management.