PostgreSQL vs Amazon Aurora

PostgreSQL9.4Visit Amazon Aurora9.0Visit

Higher score PostgreSQL #1 in Relational Databases 9.4/10 Free plan Free plan✓ 3 of 4 features Visit PostgreSQL

vs

Amazon Aurora #5 in Relational Databases 9.0/10 Paid ✓ 4 of 4 features Visit AWS Aurora

• PostgreSQL fits best

  Open-source production databases

• Amazon Aurora fits best

  Scalable managed PostgreSQL or MySQL

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Side by side

Feature	PostgreSQL 9.4/10 Visit ↗	Amazon Aurora 9.0/10 Visit ↗
At a glance
Editor score	9.4	9.0
Ranking	#1 in Relational Databases	#5 in Relational Databases
Best for	Open-source production databases	Scalable managed PostgreSQL or MySQL
Pricing model	Free	Paid
Starting price	Free plan	—
Free plan	✓ (best)	—
Free trial	—	—
Deployment	Self-hosted	Cloud
Platforms	Windows, macOS, Linux	Web
Support	Community, Docs	Email, Live chat, Phone, Tickets, Community, Docs · 24/7
Built for	Solo, Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features PostgreSQL 3/4 · Amazon Aurora 4/4
Managed service	—	✓ (best)
High availability	✓	✓
Read replicas	✓	✓
JSON data support	✓	✓
Specs
Deployment model	Self_hosted	Cloud
Backup retention	Not checked yet	Not checked yet
Maximum connections	Not checked yet	Not checked yet
Our review
Pros	Advanced indexing, partitioning, replication, and failover Supports SQL, JSONB, transactions, and concurrency control Free, open source, and available on Linux, macOS, and Windows	PostgreSQL- and MySQL-compatible engines with serverless options Automatic scaling, failover, backups, and point-in-time recovery Up to 15 read replicas plus multi-Region database support
Cons	Self-hosted deployment requires installation and administration No built-in AI features Requires technical expertise for advanced configuration and security	No permanent free plan Pricing varies by region, engine, capacity, storage, and I/O Cloud-based service with AWS ecosystem dependencies
Our verdict	PostgreSQL is an open-source object-relational database system for developers, data engineers, and organizations that need SQL-based relational storage with extensibility. It handles structured data alongside JSON and JSONB, and supports… Read the review →	Amazon Aurora is a fully managed, cloud-based relational database service from Amazon Web Services. It supports PostgreSQL- and MySQL-compatible engines, along with Aurora DSQL, a distributed SQL engine. Provisioned and serverless… Read the review →

Strengths and trade-offs

• PostgreSQL — where it wins

  • Advanced indexing, partitioning, replication, and failover
  • Supports SQL, JSONB, transactions, and concurrency control
  • Free, open source, and available on Linux, macOS, and Windows

  Where it doesn't

  • Self-hosted deployment requires installation and administration
  • No built-in AI features
  • Requires technical expertise for advanced configuration and security

• Amazon Aurora — where it wins

  • PostgreSQL- and MySQL-compatible engines with serverless options
  • Automatic scaling, failover, backups, and point-in-time recovery
  • Up to 15 read replicas plus multi-Region database support

  Where it doesn't

  • No permanent free plan
  • Pricing varies by region, engine, capacity, storage, and I/O
  • Cloud-based service with AWS ecosystem dependencies

• PostgreSQL9.4/10 · Free plan

  A free, extensible relational database for production workloads and technical teams.

  Visit PostgreSQLFull verdict →
• Amazon Aurora9.0/10 · Paid

  A managed AWS database for scalable PostgreSQL, MySQL, and distributed SQL workloads.

  Visit AWS AuroraFull verdict →