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SQL with PostgreSQL
SQL with PostgreSQL

SQL (Structured Query Language) is used for managing and manipulating relational databases. PostgreSQL is an open-source, object-relational database system that uses SQL for querying. It supports advanced features like ACID compliance, complex queries, indexing, and custom data types. PostgreSQL is widely used for building scalable, high-performance database applications. SQL with PostgreSQL allows users to create, read, update, and delete data while ensuring efficient storage and retrieval.

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NoSQL with MongoDB
NoSQL with MongoDB

NoSQL is a category of databases designed for handling large volumes of unstructured or semi-structured data. MongoDB is a popular NoSQL database that stores data in flexible, JSON-like documents (BSON format) instead of traditional tables. MongoDB is suitable for applications requiring dynamic schemas, real-time analytics, and high availability. It supports horizontal scaling and can handle a variety of data types.

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Firebase
Firebase

Firebase is a platform developed by Google for building and managing mobile and web applications. It provides a variety of services such as real-time databases, authentication, cloud storage, hosting, and analytics. It is highly integrated with other Google services, providing seamless scalability and real-time data synchronization, making it a popular choice for building modern apps quickly and efficiently.

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