Relational databases store data in tables with predefined schemas, which ensures data integrity and consistency. They are ideal for applications like banking systems, inventory management, or e-commerce platforms, where relationships between data entities must be strictly enforced.
Node.js, combined with a relational database, allows developers to build efficient backend systems that can handle high traffic and complex queries. By integrating Node.js with an RDBMS, developers can perform operations such as creating, reading, updating, and deleting records while leveraging features like transactions, joins, and indexing.
The combination of Node.js and relational databases is also highly scalable. With the right architecture, backend applications can handle multiple concurrent requests efficiently, ensuring that data remains accurate and accessible. Moreover, relational databases provide advanced querying capabilities, reporting, and analytics support, which are essential for data-driven applications.
Conclusion: Relational databases and Node.js together offer a robust solution for web applications that require reliable data management. Their combination ensures data integrity, scalability, and efficient handling of complex operations, making it a preferred choice for many enterprise applications.