The article discusses the evolution of data management, emphasizing the limitations of traditional databases amidst rapid data growth and the demand for real-time processing. It introduces SQL as a reliable method for managing relational databases through structured tables and schemas, enabling straightforward data manipulation. Additionally, NoSQL databases are highlighted for their flexibility with unstructured data and scalability, making them crucial for contemporary applications that require dynamic data handling. This shift indicates a broader trend towards cloud technology adoption and innovative solutions for complex data requirements.
SQL databases use a predefined schema for data storage, ensuring structured data management. Users can perform operations through human-readable commands, facilitating easy data retrieval.
NoSQL databases, in contrast, provide flexibility for unstructured data. They adapt to diverse data types and are scalable, catering to modern applications that require real-time data processing.
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