Câu hỏi phỏng vấn NoSQL
Câu hỏi

What are NoSQL databases? What are the different types of NoSQL databases?

Câu trả lời

NoSQL databases, also known as "Not Only SQL" databases, are a class of database management systems that do not use the traditional relational database model. Instead of storing data in tables with fixed rows and columns, NoSQL databases use flexible data models that can handle unstructured, semi-structured, and structured data. This flexibility allows them to scale horizontally and manage large volumes of data efficiently, making them suitable for modern applications such as web, mobile, and real-time analytics.

Types of NoSQL Databases

NoSQL databases are generally categorized into four main types, each with unique characteristics and use cases:

1. Document-Based Databases

Document-based databases store data in semi-structured documents, typically using formats like JSON, BSON, or XML. Each document can have a different structure, allowing for flexibility in data representation. These databases are ideal for applications that require a flexible schema and can handle complex, hierarchical data structures.

Examples: MongoDB, Couchbase

Use Cases: Content management systems (CMS), e-commerce product catalogs, user profiles

Features:

  • Schema-less design
  • High performance for read-heavy operations
  • Suitable for handling complex, nested data structures

2. Key-Value Stores

Key-value stores are the simplest form of NoSQL databases, where data is stored as key-value pairs. The key is a unique identifier for the value, which can be a simple data type or a complex object. These databases are known for their simplicity and speed, making them ideal for applications that require fast read and write operations.

Examples: Redis, Riak

Use Cases: Session management, distributed caching, real-time analytics

Features:

  • Exceptional performance and low-latency data access
  • Ideal for caching frequently accessed data
  • Simple and scalable

3. Column-Family Stores (Wide-Column Stores)

Column-family stores organize data into columns rather than rows, allowing for efficient storage and retrieval of large datasets. Each column family contains rows with a unique key, and each row can have a d...

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