Main features of MongoDB
- Document-Oriented Data Model: MongoDB’s document-oriented model stores data in JSON-like documents, enabling flexible and schema–less data storage that closely aligns with the structure of application objects.
- JSON-Like Documents: MongoDB’s use of JSON-like documents makes it easy to work with data, as developers can read, write, and manipulate data in a format that is familiar and widely used in web development.
- Powerful Query Capabilities: MongoDB offers a rich query language and a wide range of operators and functions, allowing developers to perform complex queries, aggregation, and data manipulation tasks efficiently.
- Automatic Sharding: MongoDB’s automatic sharding feature enables horizontal scaling by distributing data across multiple servers based on predefined rules, improving scalability and performance as data volumes grow.
Why does the MongoDB Java Driver Use a Random Number Generator in a Conditional?
MongoDB is a leading NoSQL database known for its flexibility and scalability. Its document–oriented data model stores data in JSON-like documents, offering a schema–less approach that perfrom well with modern application structures. The Java driver for MongoDB enhances this experience, enabling fast interactions with MongoDB databases from Java applications.
In this article, We will learn Why does the MongoDB Java driver use a random number generator in a conditional by understading their benefits, features and so on.