SQL databases are relational databases that use Structured Query Language (SQL) for defining and manipulating data. They are designed to handle structured data with predefined schemas.

Key Features

• Structured Data: Organized into tables with rows and columns.
• Schema-Based: Requires a predefined schema that defines the structure of the data.
• ACID Compliance: Ensures Atomicity, Consistency, Isolation, and Durability of transactions.
• Query Language: Uses SQL for querying and managing data.

Popular SQL Databases

• MySQL

  • Overview: Open-source, widely used for web applications.
  • Features: High performance, reliability, and ease of use.
  • Use Cases: E-commerce, content management systems (CMS), and data warehousing.

• PostgreSQL

  • Overview: Open-source, known for its advanced features and standards compliance.
  • Features: Extensible, supports complex queries, and has strong data integrity.
  • Use Cases: Financial systems, analytics, and complex applications.

• SQLite

  • Overview: Lightweight, self-contained SQL database engine.
  • Features: Serverless, zero-configuration, and highly portable.
  • Use Cases: Mobile applications, small to medium web applications, and embedded systems.

• Oracle Database

  • Overview: Commercial database with extensive features and enterprise support.
  • Features: High availability, scalability, and advanced security features.
  • Use Cases: Large enterprises, financial services, and mission-critical applications.

• Microsoft SQL Server

  • Overview: Commercial database developed by Microsoft.
  • Features: Integration with Microsoft products, advanced analytics, and data management tools.
  • Use Cases: Enterprise applications, business intelligence, and data warehousing.