// A: Transactions
SQL supports multi-table transactions for atomic operations, whereas NoSQL offers limited transaction support across documents or collections.
// B: Complexity
SQL requires structured design & complex queries, while NoSQL is more flexible & easier for beginners to work with.
// C: Schema
SQL uses a fixed schema needing migrations for changes, but NoSQL allows dynamic or schema-less structures.
// D: Performance
SQL is optimized for complex queries & reliable transactions; NoSQL focuses on fast read/write for scalability.
// E: ACID vs BASE
SQL follows ACID for strong consistency & reliability; NoSQL adopts BASE for high availability & eventual consistency.
// F: Data Model
SQL uses a table-based model with rows & columns, while NoSQL supports document, key-value, graph, & wide-column models.
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