MongoDB Use Cases: When to Use MongoDB

1. Web applications: MongoDB is suitable for web applications that need to handle large amounts of real-time data, such as social media websites, e-commerce platforms, and more.
2. Big Data Analysis: MongoDB is capable of handling large-scale datasets, making it suitable for scenarios that require complex data analysis and querying.
3. Real-time analysis and log processing: MongoDB’s fast read and write capabilities make it an ideal choice for handling real-time data and log processing.
4. Content management system: MongoDB’s document model is suitable for storing and managing various types of content, such as articles, images, and videos.
5. IoT applications: MongoDB is suitable for storing and managing large amounts of real-time data generated by IoT devices.
6. Location data analysis: MongoDB’s geospatial query feature makes it a suitable option for storing and analyzing location data, such as map applications and location services.
7. MongoDB can serve as a database for both caching and session storage, offering fast access speeds and high reliability.

In general, MongoDB is suitable for scenarios that involve handling large amounts of real-time data, complex queries and analysis, as well as applications that require the storage and management of document-oriented data.