PostgreSQL vs Amazon Aurora
Comprehensive side-by-side comparison of PostgreSQL vs Amazon Aurora including features, integrations, customer segments, supported platforms, pros & cons, and company details. Find the best relational database management systems (rdbms) solution for your business needs.
Product Comparison
PostgreSQL
The World's Most Advanced Open Source Relational Database
Amazon Aurora
Scalable, MySQL & PostgreSQL-Compatible Cloud Database
Description
PostgreSQL is a powerful, open-source relational database management system (RDBMS) renowned for its reliability, feature robustness, and extensibility. It's designed to handle a wide range of data workloads, from small single-user application...
Description
Amazon Aurora is a fully managed, MySQL and PostgreSQL-compatible relational database service built for the cloud. It combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source...
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Use Cases
Use Cases
Made For
Made For
Key Features
- Access Controls/Permissions
- Multiple Programming Languages Supported
- Performance Analysis
- Data Replication
- Data Storage Management
- Backup and Recovery
Key Features
- Access Controls/Permissions
- Performance Analysis
- Data Replication
- Data Storage Management
- Backup and Recovery
- Data Migration
Industries
- Financial Services
- Healthcare
- Government
- Telecommunications
- E-commerce
Industries
- E-commerce
- Financial Services
- Gaming
- Healthcare
- Media & Entertainment
Customer Segments
- Small Businesses
- Mid-size Businesses
- Large Enterprises
Customer Segments
- Small Businesses
- Mid-size Businesses
- Large Enterprises
Supported Platforms
- Web
- Mobile
Supported Platforms
- Web
- Mobile
Pros
- Strong ACID compliance ensures data integrity
- Extensibility through custom functions and extensions
- Open-source nature provides cost savings and community support
- Advanced features like materialized views and full-text search
- Robust security features including multi-factor authentication
Cons
- Can be more complex to configure and tune than some other databases
- Performance may require more optimization for very high-volume workloads
Pros
- High Performance: Offers significantly faster performance than standard MySQL and PostgreSQL.
- Scalability: Automatically scales storage and compute resources to meet application demands.
- High Availability: Replicates data across multiple Availability Zones for increased resilience.
- Managed Service: Reduces operational overhead with automated backups, patching, and replication.
Cons
- Vendor Lock-in: Tightly integrated with the AWS ecosystem, potentially making migration to other platforms challenging.
- Cost: Can be more expensive than self-managed databases, especially for consistently high workloads.