A complete, practical guide to modern databases. From choosing the right database to running it in production. Every article has working code in Python, TypeScript, or Go.
No theory overload. Real queries, real code, real patterns.
Part 1: PostgreSQL (Tutorials #1–#8)
The world’s most popular open-source relational database.
| # | Tutorial | What You Will Learn |
|---|---|---|
| 1 | SQL vs NoSQL — When to Use What | CAP theorem, ACID, decision framework |
| 2 | PostgreSQL Setup and Basics | Docker setup, psql, CRUD, Python + TypeScript |
| 3 | PostgreSQL — Advanced Queries | JOINs, CTEs, window functions, GROUP BY |
| 4 | PostgreSQL Indexing and Performance | B-tree, GIN, EXPLAIN ANALYZE, partial indexes |
| 5 | PostgreSQL JSON and Full-Text Search | jsonb operators, GIN index, tsvector |
| 6 | PostgreSQL Transactions and Concurrency | ACID, isolation levels, deadlocks, FOR UPDATE |
| 7 | PostgreSQL Migrations and Schema Design | Migration files, constraints, safe ALTER TABLE |
| 8 | PostgreSQL Replication and High Availability | Streaming replication, pgBouncer, Patroni |
Part 2: MongoDB (Tutorials #9–#12)
The leading document database for flexible, JSON-like data.
| # | Tutorial | What You Will Learn |
|---|---|---|
| 9 | MongoDB Setup and CRUD | Docker, mongosh, Mongoose, PyMongo |
| 10 | MongoDB Data Modeling | Embed vs reference, bucket pattern, schema validation |
| 11 | MongoDB Aggregation Pipeline | $match, $group, $lookup, $unwind |
| 12 | MongoDB Indexing and Performance | Compound, text, geospatial, partial indexes |
Part 3: Redis (Tutorials #13–#16)
The in-memory database for caching, sessions, and real-time features.
| # | Tutorial | What You Will Learn |
|---|---|---|
| 13 | Redis Setup and Data Types | Strings, lists, sets, sorted sets, hashes |
| 14 | Redis Caching Patterns | Cache-aside, write-through, TTL, stampede prevention |
| 15 | Redis Pub/Sub and Streams | Pub/Sub, Streams, consumer groups |
| 16 | Redis Best Practices and Production | Memory limits, eviction, persistence, ACL, monitoring |
Part 4: Patterns and Reference (Tutorials #17–#20)
Design patterns, ORMs, SQLite, and a complete cheat sheet.
| # | Tutorial | What You Will Learn |
|---|---|---|
| 17 | SQLite — When and How to Use It | Embedded database, WAL mode, Turso, edge deployments |
| 18 | Database Design Patterns | Soft deletes, audit logs, multi-tenancy, pagination |
| 19 | ORMs vs Raw SQL — Prisma, SQLAlchemy, GORM | ORM comparison, N+1 problem, when to use raw SQL |
| 20 | Database Cheat Sheet 2026 | Quick reference for all four databases |
Who is This For?
- Backend developers who want to master databases beyond basic CRUD
- Full-stack developers building real applications with PostgreSQL or MongoDB
- Anyone who wants to understand caching, transactions, replication, and schema design
- Developers moving from one language to another who want code examples in Python, TypeScript, and Go
How to Use This Series
Start from Tutorial #1 if you are new to databases. Jump to the relevant section if you want a specific database. Each article stands alone with complete code examples.