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Database Selection (SQL vs NoSQL)

SQL (Relational)

  • Examples: PostgreSQL, MySQL.
  • Use Case: Structured data, complex relationships, transactions (ACID), reporting.
  • Schema: Rigid, requires migrations.

NoSQL (Non-Relational)

  • Examples: MongoDB (Document), Redis (Key-Value), Cassandra (Wide-Column).
  • Use Case: Unstructured data, high write throughput, horizontal scaling, flexible schema.
  • Schema: Flexible/Schema-less.

Selection

  • Choose SQL by default for most business applications.
  • Choose NoSQL for specific needs like caching (Redis), massive logs, or rapidly changing data structures.