Database Design
A practical guide and decision reference for designing robust database schemas, focusing on PostgreSQL and MySQL for startups.
What is Database Design?
Database Design is a practical guide and decision reference for developers designing robust database schemas, primarily for PostgreSQL and MySQL. It addresses common challenges like choosing data types, implementing soft deletes, optimizing indexes, and maintaining historical records, helping teams avoid technical debt and build scalable foundations.
Backend developers, database architects, and startup engineering teams who need actionable guidance on schema design without over-engineering. It's especially useful for those working with PostgreSQL or MySQL at scales under 5 million users.
It offers concrete, experience-driven solutions instead of vague 'it depends' advice, saving time on research and reducing design mistakes. The focus on simplicity and real-world trade-offs makes it a valuable resource for teams balancing speed with long-term maintainability.
Overview
Ideas on better database design
Use Cases
Best For
- Choosing between UUIDs and auto-incremented IDs for primary keys
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