Problem Statement
When should you choose MongoDB over a relational database?
Explanation
Choose MongoDB when you need rapid iterative development with changing requirements, as its flexible schema adapts easily. Use it when you need to scale horizontally to handle high read and write traffic by distributing data across multiple servers through sharding.
MongoDB is ideal when your data repository needs to grow to massive sizes. It works well for applications with unstructured or semi-structured data like social media posts, product catalogs with varying attributes, or real-time analytics.
Choose MongoDB when you need to store and manage data with text, geospatial, or time-series dimensions. It excels in scenarios where agility, scalability, and speed are more important than complex transactions across multiple tables.
Code Solution
SolutionRead Only
// Good use cases:
// 1. Product catalog with varying attributes
{ type: "laptop", ram: "16GB", screen: "15 inch" }
{ type: "book", pages: 300, author: "John" }
// 2. User activity logs (time-series)
{ userId: 123, action: "login", timestamp: ISODate() }
// 3. Geospatial data
{ location: { type: "Point", coordinates: [50, 2] } }