PostgreSQL vs Amazon RDS

PostgreSQL9.4Visit Amazon RDS8.7Visit

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

vs

Amazon RDS #8 in Relational Databases 8.7/10 Paid ✓ 4 of 4 features Visit Amazon RDS

• PostgreSQL fits best

  Open-source production databases

• Amazon RDS fits best

  Managed multi-engine AWS databases

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Side by side

Feature	PostgreSQL 9.4/10 Visit ↗	Amazon RDS 8.7/10 Visit ↗
At a glance
Editor score	9.4	8.7
Ranking	#1 in Relational Databases	#8 in Relational Databases
Best for	Open-source production databases	Managed multi-engine AWS databases
Pricing model	Free	Paid
Starting price	Free plan	Not checked yet
Free plan	✓ (best)	—
Free trial	—	—
Deployment	Self-hosted	Cloud, Self-hosted
Platforms	Windows, macOS, Linux	Web
Support	Community, Docs	Phone, Live chat, Email, Community, Docs · 24/7
Built for	Solo, Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features PostgreSQL 3/4 · Amazon RDS 4/4
Managed service	—	✓ (best)
High availability	✓	✓
Read replicas	✓	✓
JSON data support	✓	✓
Specs
Deployment model	Self_hosted	Both
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	Supports eight database engines in a managed AWS service Includes Multi-AZ failover, read replicas, backups, and point-in-time restore Connects with IAM, VPC, CloudWatch, RDS Proxy, and Outposts
Cons	Self-hosted deployment requires installation and administration No built-in AI features Requires technical expertise for advanced configuration and security	No free plan is available Usage-based pricing varies by region, engine, instance, storage, and configuration AWS-focused deployment may not suit teams seeking a standalone database platform
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 RDS is a managed relational database service for deploying, operating, and scaling databases in the AWS environment. It automates infrastructure provisioning, patching, backups, and failure recovery while leaving users to configure… 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 RDS — where it wins

  • Supports eight database engines in a managed AWS service
  • Includes Multi-AZ failover, read replicas, backups, and point-in-time restore
  • Connects with IAM, VPC, CloudWatch, RDS Proxy, and Outposts

  Where it doesn't

  • No free plan is available
  • Usage-based pricing varies by region, engine, instance, storage, and configuration
  • AWS-focused deployment may not suit teams seeking a standalone database platform

• PostgreSQL9.4/10 · Free plan

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

  Visit PostgreSQLFull verdict →
• Amazon RDS8.7/10 · Paid

  A managed AWS database service for teams needing engine choice and operational automation.

  Visit Amazon RDSFull verdict →