SQL Tutorial 0/85 lessons ~6 min read Lesson 4
SQL vs NoSQL
Both store data, but they make different trade-offs.
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Focus
6 guided sections
Practice signal
Examples included
Career prep
Foundation builder
Introduction
Both store data, but they make different trade-offs. SQL databases use fixed schemas, strong consistency and joins — perfect for money, orders, inventory. NoSQL databases use flexible schemas and horizontal scale — perfect for logs, IoT, social feeds and caching.
Beginner analogy: SQL is a structured filing cabinet with strict labels; NoSQL is a giant box where you toss anything in and search later.
Understanding the topic
Core concepts to understand:
- SQL: Postgres, MySQL — strong ACID, joins, fixed schema.
- Document NoSQL: MongoDB — flexible JSON-like records.
- Key-Value: Redis, DynamoDB — ultra-fast lookups by key.
- Column: Cassandra, ScyllaDB — write-heavy time series.
- Graph: Neo4j — relationships are first-class.
- Modern apps usually use both — SQL for source-of-truth, NoSQL for cache/search.
Syntax reference
Visual workflow / architecture:
bash
┌─────────────────────────────┐│ Your App │└──────┬───────────────┬──────┘│ │┌─────▼─────┐ ┌─────▼─────┐│ SQL DB │ │ NoSQL DB ││ Postgres │ │ Redis / ││ (orders) │ │ Mongo ││ ACID │ │ (cache, ││ joins │ │ feeds) │└───────────┘ └───────────┘
Real-world use
Stripe stores every charge in Postgres (must be ACID); they use Redis to cache rate limits and DynamoDB for high-throughput logs. Knowing when to use each is a senior-level skill.
Best practices
- Default to SQL — choose NoSQL only when you have a specific need it solves.
- Never rely on NoSQL for money or inventory without strong app-level checks.
- Use the right tool for each part of the system; polyglot persistence is fine.
Hands-on exercise
Interview preparation — practice these questions:
- Q1. Three differences between SQL and NoSQL.
- Q2. When would you choose MongoDB over Postgres?
- Q3. Can NoSQL be ACID? Give an example.
- Q4. What is polyglot persistence?
- Q5. Why do banks rarely use NoSQL for ledgers?
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