Notes

1. Data Model:
* MongoDB is a NoSQL database that uses a document-oriented data model, where data is stored in flexible, JSON-like documents. It does not require a predefined schema and allows for nested data structures.
* PostgreSQL is a relational database that uses a tabular data model with rows and columns. It requires a predefined schema and enforces data integrity through constraints and relationships.
2. Query Language:
* MongoDB uses a query language that is similar to JavaScript and allows for querying and manipulating data using JSON-like syntax.
* PostgreSQL uses SQL (Structured Query Language) for querying and manipulating data in a relational database.
3. Scalability:
* MongoDB is designed to be horizontally scalable, meaning it can easily distribute data across multiple servers to handle large amounts of data and high traffic.
* PostgreSQL can also be scaled horizontally, but it requires more effort and expertise compared to MongoDB.
4. Transactions:
* PostgreSQL supports ACID (Atomicity, Consistency, Isolation, Durability) transactions, making it suitable for applications that require strong data consistency and integrity.
* MongoDB supports multi-document transactions starting from version 4.0, but it does not provide full support for ACID transactions.
5. Use Cases:
* MongoDB is often used for applications that require flexible data models, real-time analytics, and high availability, such as content management systems, IoT applications, and mobile apps.
* PostgreSQL is commonly used for applications that require complex queries, transactions, and data integrity, such as e-commerce platforms, financial applications, and data warehousing.