Why MongoDB is Suitable for Beginners? Starting from Data Structures
The article points out that relational databases (such as MySQL) are not beginner-friendly because they require pre-designing table structures and handling complex relationships. In contrast, MongoDB lowers the entry threshold through its "collection + document" data structure. A MongoDB collection is similar to a "folder," and a document is like a "note," storing data in a JSON-like format where fields can be added or removed at any time without pre-planning the table structure. Its advantages include: 1. Data structures can be modified on-the-fly without writing SQL to create tables, directly storing data in an intuitive format; 2. It is as intuitive as writing JSON, requiring no additional learning of complex syntax; 3. Handling relationships with nested documents is simpler, avoiding complex operations like table joins. This flexible and intuitive structure allows beginners to focus on business logic first rather than getting stuck on database design, making it suitable for quick onboarding.
Read MoreMongoDB vs MySQL: Which Database Should Beginners Choose?
Databases are used for efficient data management, storage, and querying. The core mainstream databases are MySQL (relational) and MongoDB (non-relational). MySQL has a fixed structure (requiring pre-defined table schemas), reliable transactions (supports transactions to ensure consistency), and powerful SQL query capabilities. It is suitable for scenarios with clear data structures and transaction support (e.g., e-commerce user-order-product systems, financial transactions). MongoDB stores data in document form (similar to JSON), offers flexible structures (fields can be added or removed at any time), and has strong scalability. It is ideal for scenarios with variable data structures or unstructured data (e.g., rapidly iterating apps, blogs, logs). For beginners, project requirements should guide the choice: select MySQL for fixed structures, MongoDB for flexible needs, or a hybrid approach (e.g., MySQL for core data, MongoDB for user-generated content). There is no absolute superiority between the two; suitability is key. Beginners can experience their characteristics through small projects.
Read More