MySQL vs Amazon Aurora
Comprehensive side-by-side comparison of MySQL 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
MySQL
The World’s Most Popular Open Source Database
Amazon Aurora
Scalable, MySQL & PostgreSQL-Compatible Cloud Database
Description
MySQL is a leading open-source relational database management system (RDBMS) renowned for its reliability, scalability, and performance. It empowers businesses of all sizes to efficiently store, manage, and retrieve data, supporting a wide ran...
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...
Videos (1)
Videos (1)
Use Cases
Use Cases
Made For
Made For
Key Features
- Data Replication
- Data Storage Management
- Access Controls/Permissions
- Backup and Recovery
- Secure Data Storage
- Data Migration
Key Features
- Access Controls/Permissions
- Performance Analysis
- Data Replication
- Data Storage Management
- Backup and Recovery
- Data Migration
Industries
- E-commerce
- Financial Services
- Healthcare
- Media & Entertainment
- Technology
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
- Open-source and cost-effective
- Highly scalable and reliable
- Large and active community support
- Wide range of features and tools
- Strong security features
Cons
- Can be complex to configure and manage
- Performance can be affected by improper configuration
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.