Architectural Comparison
MongoDB vs MySQL: Schema Design, ACID, Queries & Scalability
Compare MongoDB and MySQL: BSON documents vs structured tables, SQL joins vs embedding, ACID transactions, and horizontal sharding.
| Evaluation Dimension | MongoDB | MySQL |
|---|---|---|
| Data Model | Relational tables with strict schemas and foreign keys (MySQL) | Flexible JSON/BSON document collections (MongoDB) |
| Query Language | Standard SQL with complex multi-table JOIN support | MQL (MongoDB Query Language) and Aggregation Pipelines |
| ACID Compliance | Native, multi-row ACID transactions with strict isolation | Single-document atomic operations; multi-document ACID supported since v4.0 |
| Scaling Strategy | Vertical scaling (bigger servers) or read replicas | Horizontal scaling via native sharding and replica sets |
Architectural Verdict & Guidance
Use MySQL when data has clear relationships, requires strict schema integrity, and demands bulletproof transactional guarantees (financial records, e-commerce checkouts). Use MongoDB when dealing with hierarchical data, polymorphic content models, or rapid schema iteration.
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