SQL and NoSQL databases offer different data models and consistency approaches. Traditional relational systems provide ACID guarantees and complex query support, but scalability may be limited. Document, key-value, or graph-based NoSQL solutions offer flexible schemas and horizontal scaling advantages, but consistency and query support can vary. What are the key differences between these two paradigms, and how should one choose based on project needs? What are your thoughts?
What are the differences between SQL and NoSQL databases, and in which scenarios should each be preferred?
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Yeah, I switched from PostgreSQL to MongoDB for a logging project where the schema kept changing; the document model's flexibility and horizontal scalability solved the issue. On the other hand, for a financial application, I stuck with MySQL because ACID guarantees and complex joins are still essential.