The article discusses the transformative changes in data management due to evolving business needs and data types. Traditional relational databases like Oracle and MySQL are facing challenges when dealing with the diverse array of data types generated today, including semi-structured and unstructured formats. Issues such as scalability limitations and the need for real-time processing further exacerbate the inadequacies of these legacy systems. With the expected data explosion by 2025, businesses require modern solutions that can meet these demands, particularly in cloud-native architectures and real-time analytics capabilities.
Traditional databases excel in transaction processing but struggle to handle diverse data types and real-time analytics due to their rigid structures and scalability limitations.
The demand for modern database solutions is driven by the need for real-time processing and the ability to manage embedded, semi-structured, and unstructured data effectively.
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