Database Basics: SQL vs. NoSQL Decision Tree
Introduction
Selecting the right database for your application is a critical architectural decision that can significantly impact performance, scalability, and development efficiency. This guide presents a systematic approach to choosing between SQL and NoSQL databases based on your specific requirements.
Understanding SQL and NoSQL Databases
SQL Databases
SQL (Structured Query Language) databases organize data in tables with predefined schemas. They follow the ACID (Atomicity, Consistency, Isolation, Durability) properties and establish relationships between tables through foreign keys.
Key characteristics:
Structured data with rigid schemas
Strong consistency and transaction support
Vertical scaling primarily (scale-up)
Mature ecosystem with standardized query language
Powerful for complex queries and relationships
Popular examples: PostgreSQL, MySQL, Oracle, SQL Server, MariaDB
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