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SQL Engines
MySQL is one of several widely used SQL database engines. The list below summarizes the most popular relational database management systems (RDBMS) and their key differences; see also Storage Engines for the pluggable storage engines available within MySQL itself, and Database Types for how these engines map onto managed database services on AWS.- MySQL – an open-source RDBMS widely used for web applications and other workloads that require high performance and scalability. It is easy to use and manage, and available for free under the GNU General Public License.
- PostgreSQL – another open-source RDBMS, known for its flexibility and scalability. It supports a wide range of data types and features, and is often used for enterprise applications.
- Microsoft SQL Server – a proprietary RDBMS used by many large organizations. It is known for high performance and reliability, and offers a wide range of features, including support for in-memory data and Hadoop integration.
- Oracle Database – a proprietary RDBMS also used by many large organizations, known for its high performance, scalability, and security.
The table below summarizes the key differences between these four SQL engines:
| Feature | MySQL | PostgreSQL | Microsoft SQL Server | Oracle Database |
| Licensing | Open source | Open source | Proprietary | Proprietary |
| Performance | Good | Excellent | Excellent | Excellent |
| Scalability | Good | Excellent | Excellent | Excellent |
| Features | Basic | Advanced | Advanced | Advanced |
| Cost | Free | Free | Commercial | Commercial |
The best SQL engine for a given project depends on its specific needs. A free, open-source RDBMS with good performance and scalability points toward MySQL or PostgreSQL; a more powerful RDBMS with advanced features and enterprise-grade support points toward Microsoft SQL Server or Oracle Database.