What are the differences between SQL and NoSQL databases, and in what scenarios would you choose one over the other?

In my final year of college, I worked on a group project that involved developing a web application for managing student records. We chose to use a SQL database because we needed to ensure the integrity of the data with complex queries and relationships between tables. For instance, we had to link students to their courses and grades, which required structured data. During the project, we learned how SQL allows for transactions, which helped us avoid data inconsistencies. This experience taught me the importance of selecting the right database technology based on data structure and relationships.

While volunteering for a local non-profit, I helped develop an event management system to track participants and events. We opted for a NoSQL database because the data was less structured and frequently changing. For example, we often had last-minute changes to event details, and NoSQL allowed us to update documents quickly without the need for fixed schemas. This experience highlighted the benefits of NoSQL in scenarios where flexibility and scalability were essential, showing me how to adapt database choices to meet user needs.

In my first job as a junior developer at an e-commerce startup, I was part of a team that worked on selecting the database for our platform. We decided to use a combination of SQL and NoSQL databases. SQL was used for handling transactions related to customer orders, ensuring data integrity, while NoSQL was employed for managing product catalogs, which required quick retrieval and scalability. This dual approach allowed us to leverage the strengths of both types of databases, enabling the application to handle complex queries while maintaining flexibility for large datasets.