SQL vs NoSQL: Which Should You Use?
This is a decision about your data's shape and consistency needs, not about which technology is objectively "more modern."
Side-by-Side Comparison
| SQL (Relational) | NoSQL |
|---|---|
| Fixed schema, defined upfront | Flexible schema, varies by record |
| Strong consistency (ACID transactions) as the default | Consistency models vary -- some prioritize availability/speed instead |
| Joins across normalized tables | Data often denormalized/embedded to avoid joins |
| Vertical scaling is the traditional default, horizontal is possible but harder | Many NoSQL databases are built for horizontal scaling from the ground up |
| Examples: MySQL, PostgreSQL, SQL Server | Examples: MongoDB (document), Redis (key-value), Cassandra (wide-column) |
How to Actually Decide
Choose SQL when your data has clear, stable relationships and you need strong transactional guarantees -- financial records, order systems, anything where "the numbers must always add up correctly" matters. Choose NoSQL when your data is naturally varied/document-shaped, you need to scale writes horizontally across many servers, or your access pattern is simple key-value lookups at very high volume. "NoSQL" also isn't one thing -- document, key-value, wide-column, and graph databases each solve different problems, so "NoSQL" alone isn't a complete answer to which specific database to pick.