Why Use MongoDB?
Document Oriented Storage − Data is stored in the form of JSON documents.
- Index on any attribute: Indexing in MongoDB allows for faster data retrieval by creating a searchable structure on selected attributes, optimizing query performance.
- Replication and high availability: MongoDB’s replica sets ensure data redundancy by maintaining multiple copies of the data, providing fault tolerance and continuous availability even in case of server failures.
- Auto-Sharding: Auto-sharding in MongoDB automatically distributes data across multiple servers, enabling horizontal scaling and efficient handling of large datasets.
- Big Data and Real-time Application: When dealing with massive datasets or applications requiring real-time data updates, MongoDB’s flexibility and scalability prove advantageous.
- Rich queries: MongoDB supports complex queries with a variety of operators, allowing you to retrieve, filter, and manipulate data in a flexible and powerful manner.
- Fast in-place updates: MongoDB efficiently updates documents directly in their place, minimizing data movement and reducing write overhead.
- Professional support by MongoDB: MongoDB offers expert technical support and resources to help users with any issues or challenges they may encounter during their database operations.
- Internet of Things (IoT) Applications: Storing and analyzing sensor data with its diverse formats often aligns well with MongoDB’s document structure.
MongoDB Tutorial
This MongoDB tutorial aims to give an in-depth knowledge of MongoDB. It is the most used cross-platform, document-oriented database that provides, high availability, high performance, and easy scalability. MongoDB works on the concept of collecting and documenting the data.
This MongoDB Tutorial is designed for both beginners and experienced professionals. This free tutorial aims to guide you through the fundamentals of MongoDB and help you get started with MongoDB, a flexible document-oriented database.
This free MongoDB tutorial providing in-depth information about MongoDB with the help of a huge dataset containing basic commands like insert, update, and delete to advance features like authentication, backup, and storage, connecting the Django projects with MongoDB, etc. So let’s get dive straight into the tutorial.