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Architecture Matrix
SQL vs NoSQL: Relational vs Document Databases
Comparing relational RDBMS databases (PostgreSQL, MySQL) against non-relational document/NoSQL stores (MongoDB, Redis, Cassandra).
Feature & Performance Breakdown
| Feature / Metric | SQL (Relational) | NoSQL (Document/Key-Value) | Advantage |
|---|---|---|---|
| Schema | Strict, predefined relational schema | Dynamic, flexible, schema-less | Tie |
| ACID Transactions | Full ACID compliance guaranteed | Often BASE model (eventual consistency) | SQL (Relational) |
| Horizontal Scaling | Complex sharding, vertical scaling | Built-in automatic sharding & clusters | NoSQL (Document/Key-Value) |
| Complex Queries & Joins | Native powerful relational JOINs | Limited joins, requires denormalization | SQL (Relational) |
When to Choose SQL (Relational):
- β’E-commerce, billing, banking, and accounting systems
- β’Highly structured data with complex relationships
- β’When ACID guarantees are strictly required
When to Choose NoSQL (Document/Key-Value):
- β’Rapid prototyping with changing schema
- β’Real-time high-velocity big data ingestion
- β’Distributed caching and mobile session stores