What are the key differences between SQL and NoSQL databases, and when would you choose one over the other?

During my final year in college, I worked on a group project where we created a Student Management System. We used an SQL database because we needed to manage structured data such as student records, grades, and course information. The relational model allowed us to create connections between different tables efficiently. My role was to design the database schema and write SQL queries for data retrieval and manipulation. We chose SQL because of its strong schema enforcement and ability to handle complex queries, which were essential for generating reports. This experience taught me the importance of choosing the right database based on project requirements.

While volunteering for a local non-profit, I helped organize community events and we used a NoSQL database for managing attendee information and feedback. The flexibility of a document-based NoSQL database allowed us to store various data types, such as RSVP details, dietary preferences, and feedback forms, all in one place without a strict schema. This adaptability was crucial since attendee information varied widely. My tasks involved updating and retrieving data using a simple API, which highlighted how NoSQL can be beneficial for projects where data requirements are not predefined and can evolve over time.

In my first job as a junior developer at an e-commerce startup, we utilized both SQL and NoSQL databases. We used SQL for managing user accounts and transaction records to ensure data integrity and consistency. However, for our product catalog, we opted for a NoSQL database since it allowed us to handle a wide variety of product types and attributes without rigid schema constraints. This dual approach taught me how each database type serves different aspects of a business and how critical it is to align the database choice with the specific needs of the application.