DB Design for a Startup: Keep It Simple
You aren't Google, and that's perfectly fine
95% of applications will never need distributed databases. Start with PostgreSQL and focus on your product.
Start Simple: The Reality of Database Scale
PostgreSQL on AWS RDS/Cloud SQL/Azure will handle your first 10 million users.
Examples
| Company |
Exit Value |
Database Strategy |
| Instagram |
$1B |
PostgreSQL until acquisition |
| WhatsApp |
$19B |
PostgreSQL handled 900M users |
| Notion |
$10B valuation |
Still on PostgreSQL + replicas |
| Stack Overflow |
Still thriving |
4 SQL Servers, 1.3B pageviews/month |
Common Startup Mistakes to Avoid
Mistake 1: Over-Engineering from Day One
# DON'T DO THIS for your MVP
architecture = {
'microservices': 12,
'databases': ['PostgreSQL', 'MongoDB', 'Redis', 'Elasticsearch'],
'message_queues': ['Kafka', 'RabbitMQ'],
'orchestration': 'Kubernetes',
}
# DO THIS instead
architecture = {
'monolith': 'PostgreSQL + React',
'deployment': 'Vercel' or 'GCP' or 'AWS',
}
Mistake 2: DIY Database Management
Every hour spent on database ops is an hour not spent on your product.
Use AWS RDS, Cloud SQL, or Azure Database. Period.