Relational Database

A Relational Database is a type of database that stores and provides access to data points that are related to one another through tables. It uses structured query language (SQL) for data manipulation and management, organizing data into rows and columns with defined relationships between tables.

Key Characteristics

• Tabular Structure: Organizes data into tables with rows and columns
• ACID Compliance: Ensures atomicity, consistency, isolation, and durability
• SQL Interface: Uses Structured Query Language for data operations
• Relationships: Defines relationships between different tables

Advantages

• Data Integrity: Enforces data integrity through constraints
• Structured Data: Well-structured for complex queries
• Mature Technology: Well-established and tested technology
• Standardization: Standardized SQL language for operations

Disadvantages

• Scalability: Limited scalability compared to NoSQL
• Flexibility: Less flexible for unstructured data
• Complexity: Complex for simple applications
• Cost: Can be expensive for large implementations

Best Practices

• Normalize database schema to reduce redundancy
• Create appropriate indexes for query optimization
• Implement proper backup and recovery procedures
• Regularly maintain and update database statistics

Use Cases

• Financial systems requiring ACID compliance
• E-commerce applications
• Enterprise resource planning systems
• Customer relationship management systems