MongoDB and SQL represent two different types of database management systems.
1. Structured Query Language (SQL): SQL is a database system that uses a structured query language for defining and manipulating the data. SQL servers use table-based databases. This structure allows highly efficient and precise searching, filtering, and coupling of data using complex queries. SQL can quickly make complicated queries across many tables at once. It uses a schema that required data to be stored in a predefined manner.
1. MongoDB: On the other hand, MongoDB is a NoSQL database that provides high performance, high availability, and easy scalability. It works on the concept of collections and documents, using a flexible, JSON-like document model that can vary from record to record. This model makes MongoDB particularly good at storing data with a hierarchical relationship, arrays, or other complex nested structures. Data in MongoDB has a flexible schema.
The decision to use MongoDB or SQL databases depends largely on the data storage needs of your particular project.
