Amazon Aurora vs MariaDB
Comprehensive side-by-side comparison of Amazon Aurora vs MariaDB 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
Amazon Aurora
Scalable, MySQL & PostgreSQL-Compatible Cloud Database
MariaDB
The Open Source Database for Modern Applications.
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...
Description
MariaDB is a powerful, versatile, and open-source relational database management system (RDBMS) designed for a wide range of applications and workloads. It's a drop-in replacement for MySQL, offering enhanced performance, reliability, and a ri...
Videos (1)
Videos (1)
Use Cases
Use Cases
Made For
Made For
Key Features
- Access Controls/Permissions
- Performance Analysis
- Data Replication
- Data Storage Management
- Backup and Recovery
- Data Migration
Key Features
- Access Controls/Permissions
- Multiple Programming Languages Supported
- Performance Analysis
- Data Replication
- Data Storage Management
- Backup and Recovery
Industries
- E-commerce
- Financial Services
- Gaming
- Healthcare
- Media & Entertainment
Industries
- E-commerce
- Financial Services
- Healthcare
- Telecommunications
- Software Development
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
- 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.
Pros
- Open-source and cost-effective
- High performance and scalability
- Strong community support and active development
- Compatibility with MySQL
- Advanced features like JSON support and Galera Cluster
Cons
- Can be complex to configure and manage for large deployments
- Potential compatibility issues with some less common MySQL extensions