ANALYSIS OF SQL AND NOSQL DATABASE MANAGEMENT SYSTEMS INTENDED FOR UNSTRUCTURED DATA

With the exponential growth of digital content, unstructured data has become a dominant force in today's data landscape, accounting for nearly 80% of enterprise information. Traditional relational database management systems (RDBMS), governed by rigid schemas and ACID compliance, were not originally designed to handle the dynamic and heterogeneous nature of unstructured data such as images, videos, logs, emails, and social media feeds. In contrast, NoSQL databases have emerged as a viable alternative, offering flexible schema designs, high scalability, and optimized performance for various unstructured and semi-structured data workloads.