MongoDB
MongoDB is a popular, open-source document-based NoSQL database that provides a flexible and scalable approach to storing and managing data. MongoDB is designed to be highly performant and efficient, with built-in support for scaling and distributed computing. MongoDB’s document model is based on a flexible, schema-free data model that allows for easy and rapid development of applications, with support for complex data structures, embedded documents, and arrays. This makes MongoDB well-suited for modern web and mobile applications that require flexible and dynamic data models
PROS
- MongoDB's document-based data model allows for flexible and dynamic data structures, making it easy to add or modify data fields as needed
- MongoDB is highly scalable, with built-in support for sharding and replication, allowing for horizontal scaling to handle large amounts of data
- MongoDB is designed for high performance, with efficient data storage and retrieval, making it well-suited for high-throughput applications
CONS
- MongoDB does not support ACID transactions across multiple documents, which can make it challenging to maintain data integrity in certain scenarios
- MongoDB's query capabilities are limited compared to traditional relational databases, which can make it difficult to perform complex queries
- MongoDB's flexible data model makes it well-suited for managing unstructured content, such as blog posts, articles, and multimedia content
- MongoDB's scalability and high-performance capabilities make it well-suited for managing large volumes of product data and transactional data in e-commerce applications
- MongoDB's support for complex data structures and flexible schema makes it well-suited for storing and processing data from IoT devices
The New York Times uses MongoDB to manage its article and multimedia content, with over 8 million documents stored in MongoDB. Bosch uses MongoDB to manage its IoT data from connected devices, with over 500 billion documents stored in MongoDB. Uber uses MongoDB to manage its real-time ride and driver data, with over 500,000 MongoDB queries per second
