Microsoft SQL Server vs Amazon Aurora
Comprehensive side-by-side comparison of Microsoft SQL Server 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
Microsoft SQL Server
Powerful Data Management and Analytics for Business Intelligence
Amazon Aurora
Scalable, MySQL & PostgreSQL-Compatible Cloud Database
Description
Microsoft SQL Server is a leading relational database management system (RDBMS) designed for businesses of all sizes. It provides a robust platform for storing, managing, and analyzing structured and unstructured data, supporting both on-premi...
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...
No videos available
Videos (1)
Use Cases
Use Cases
Made For
Made For
Key Features
- Access Controls/Permissions
- Performance Analysis
- Data Connectors
- Data Storage Management
- Backup and Recovery
- Data Migration
Key Features
- Access Controls/Permissions
- Performance Analysis
- Data Replication
- Data Storage Management
- Backup and Recovery
- Data Migration
Industries
- Financial Services
- Healthcare
- Retail
- Manufacturing
- Government
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
Supported Platforms
- Web
- Mobile
Pros
- Robust and Scalable: Handles large datasets and complex workloads efficiently.
- Comprehensive Feature Set: Offers a wide range of features for data management, analytics, and integration.
- Strong Security: Provides advanced security features to protect sensitive data.
Cons
- Cost: Can be expensive, especially for larger deployments and advanced features.
- Complexity: Requires specialized skills to administer and optimize effectively.
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.