Neha B.

MongoDB is a popular NoSQL database designed to handle large volumes of unstructured or semi-structured data. It stores data in a flexible, JSON-like format called BSON (Binary JSON), which makes it ideal for modern applications that require scalability, agility, and real-time performance.

Document-Oriented:

MongoDB stores data in documents, which are analogous to JSON objects.

Each document can have a unique structure, making it schema-flexible.

Schema Flexibility:

No need for a fixed schema, unlike traditional relational databases.

Easily adapt to changing application requirements without schema migrations.

Scalability:

Supports horizontal scaling through sharding, allowing MongoDB to handle large datasets by distributing them across multiple servers.

High Performance:

Optimized for read and write-heavy workloads.

Avoids the overhead of joins and transactions in many cases.

MongoDB:

Supports a flexible schema using JSON-like documents (BSON).

No need to define a rigid schema beforehand; fields can vary between documents.

Ideal for evolving applications where requirements change frequently.

SQL Databases:

Require a fixed schema defined in advance.

Changing schema (e.g., adding or altering columns) can be cumbersome and may require migrations.

Yes, MongoDB can be used with Java! MongoDB provides an official Java Driver that allows you to interact with a MongoDB database directly from Java applications. It supports basic operations like creating, reading, updating, and deleting (CRUD) documents, as well as more advanced features like aggregation and transactions.

MongoDB does not have triggers in the same way as traditional relational databases like MySQL or PostgreSQL. However, it provides several alternative mechanisms to achieve similar functionality, including listening for changes to data and reacting to them programmatically.

MongoDB supports Change Streams, a feature that allows you to listen to changes in a collection, database, or an entire cluster in real time.