Essential for most MVPs
Database Architecture for MVPs
Choosing and designing databases for scalability, performance, and data integrity.
3-7 days
Typical Timeline
$1,000 - $3,000
Typical Cost
When to Include
- Any application storing persistent data
- User accounts and profiles
- Transactional data
- Content management
When to Skip
- Static websites only
- Purely frontend applications
Technology Options
| Technology | Pros | Cons |
|---|---|---|
PostgreSQL Advanced open-source relational database |
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MongoDB Popular document database |
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Supabase Hosted PostgreSQL with extras |
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PlanetScale Serverless MySQL platform |
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Implementation Steps
1
Analyze data requirements and relationships2
Choose database type (SQL vs NoSQL)3
Design initial schema/models4
Set up development and production databases5
Implement migrations workflow6
Add indexes for common queries7
Configure backups8
Set up monitoringCommon Mistakes to Avoid
- Not planning for schema changes (migrations)
- Missing indexes on frequently queried columns
- Not using database transactions
- Storing computed data instead of computing
- Not backing up regularly
- Ignoring database connection pooling
Frequently Asked Questions
SQL or NoSQL for my MVP?
SQL (PostgreSQL) for most MVPs - relational data, transactions, and proven reliability. NoSQL when you have truly unstructured data or need massive scale from day one.
Should I use an ORM?
Yes for productivity - Prisma, Drizzle, or TypeORM. They handle migrations, type safety, and common queries. Learn raw SQL for complex queries.
How do I handle database migrations?
Use migration tools (Prisma Migrate, Flyway). Version control migrations. Test on staging. Have rollback plans. Never modify production directly.
Related Features
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