Relational databases are a popular choice for storing and managing data. They are based on the relational model, which organizes data into tables with rows and columns. This structure allows for efficient querying and manipulation of data.
Key Features
- Structured Query Language (SQL): Relational databases use SQL for managing and querying data.
- Normalization: This process minimizes redundancy and ensures data integrity.
- Data Consistency: Relational databases enforce data consistency through constraints and relationships.
Types of Relational Databases
- Relational Database Management Systems (RDBMS): Examples include MySQL, PostgreSQL, and Oracle.
- NoSQL Databases: While not strictly relational, they offer alternative data models. Learn more about NoSQL databases.
Benefits
- Scalability: Relational databases can handle large amounts of data.
- Flexibility: They can adapt to changing data requirements.
- Security: Robust security features protect sensitive data.
Relational Database Schema
For more information on relational databases, check out our database management guide.