What should I use for a SaaS product database, PostgreSQL or Aurora?

For most SaaS products, PostgreSQL is the better default choice.
Aurora is worth considering when you specifically want managed scaling/failover features in AWS and are okay with added cost and some vendor lock-in.

Quick rule of thumb

• Choose PostgreSQL if you want:

  • Lower cost
  • Simpler architecture
  • Easier local dev/test parity
  • Strong reliability and flexibility
  • Portability across cloud providers

• Choose Aurora if you want:

  • Deep AWS integration
  • Easier high availability and read scaling
  • Less operational work for failover and replication
  • A managed database that can scale more aggressively in AWS

Key differences

PostgreSQL

• Open-source, widely supported
• Works great for most SaaS workloads
• Can be run on RDS, self-managed, or other clouds
• Easier to move later
• Usually cheaper

Aurora

• AWS-managed database compatible with PostgreSQL/MySQL
• Better built-in scaling/replication characteristics in AWS
• Faster failover and simpler HA setup
• Often more expensive
• More lock-in to AWS/Aurora-specific behavior

For a typical SaaS startup

If you’re early-stage or mid-stage, start with PostgreSQL on a managed service like:

• AWS RDS for PostgreSQL
• Cloud SQL for PostgreSQL
• Supabase / Neon / other managed Postgres providers

This gives you:

• Standard Postgres behavior
• Lower complexity
• Good enough scaling for many products

When Aurora makes sense

Aurora is a strong choice if:

• You’re already all-in on AWS
• You expect significant read traffic
• You need high availability with minimal DBA effort
• You’re operating at a scale where Aurora’s operational benefits justify the cost

My recommendation

If you’re asking for a default SaaS database: use PostgreSQL.

If you tell me:

• your expected traffic,
• whether you’re on AWS,
• and whether you need multi-region or heavy read scaling,

I can give you a more specific recommendation.