SQL vs NoSQL: How to Choose in System Design
Compare SQL vs NoSQL for system design: data modeling, transactions, scale, trade-offs, and the right database for each workload.
Structured learning path
Follow this series from the first concept to the final deep dive. Every article is arranged in the recommended reading order.
Start with article 1Your path
10 focused lessons
Compare SQL vs NoSQL for system design: data modeling, transactions, scale, trade-offs, and the right database for each workload.
Learn database indexing with SQL examples: B-tree indexes, query plans, composite index order, write costs, and interview questions.
Learn what database connection pooling is, how it works under the hood, and why it is essential for building performant, scalable backend applications.
Learn how Object-Relational Mappers work under the hood - from query building and identity maps to lazy loading and the N+1 problem.
Learn what a database transaction is, how BEGIN, COMMIT, and ROLLBACK work, and when to use savepoints with clear SQL examples.
Learn what ACID properties mean in databases. Understand atomicity, consistency, isolation, and durability with simple examples and real-world use cases.
Learn database normalization step by step. Understand 1NF, 2NF, and 3NF with clear table examples and how each normal form reduces redundancy.
Learn the essential SQL queries every developer needs: SELECT, WHERE, JOIN, GROUP BY, INSERT, UPDATE, and DELETE with real examples.
Primary key vs foreign key explained with SQL examples, core differences, and best practices to design reliable relational database schemas.
Learn relational databases: tables, rows, columns, and keys - with practical SQL examples and clear explanations for beginners.