Best for — Relational Databases
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High
Who is Amazon Aurora (Postgres) best for?
Quick fit guide: Who is Amazon Aurora (Postgres) best for, who should avoid it, and what typically forces a switch.
Sources linked — see verification below.
Freshness & verification
Best use cases for Amazon Aurora (Postgres)
- AWS-first teams needing managed Postgres-compatible OLTP
- Organizations with strong operational ownership for databases
- Teams that want a managed relational baseline aligned with AWS governance patterns
- Workloads where Postgres compatibility is desired but the team wants to avoid self-managed Postgres operations
Who should avoid Amazon Aurora (Postgres)?
- Developer workflow demands branching/ephemeral DBs as a core need
- You need distributed SQL resilience patterns beyond single-region DB assumptions
- You need predictable costs without ongoing monitoring and governance discipline
Upgrade triggers for Amazon Aurora (Postgres)
- Need deeper AWS integration and managed database operations
- Need to standardize database governance for multiple teams
- Need a production baseline with clearer operational controls as reliability requirements increase
Sources & verification
Pricing and behavioral information comes from public documentation and structured research. When information is incomplete or volatile, we prefer to say so rather than guess.