RDBMS in Comparison: SQLite vs. MySQL vs. PostgreSQL

SQLite, MySQL or PostgreSQL? We compare the three leading RDBMSs to help you decide which system is best suited to your project requirements.

SQLite, MySQL and PostgreSQL are three of the best-known relational database management systems (RDBMS). Each has its own strengths and areas of application. In this comparison, we compare these three systems in terms of various aspects such as performance, use cases and range of functions.


SQLite is a lightweight, C-embedded database. It is ideal for applications that require a simple, discretely embedded database solution.


  • Lightweight: No separate server installation required.
  • Simplicity: Easy integration into applications, especially useful for mobile applications and small desktop projects.
  • Little configuration: Almost no configuration required.


  • Limited scalability: Not ideal for very large data volumes.
  • Limited competitiveness: Not designed for highly parallel access.


MySQL, which is managed by Oracle, is one of the most popular open source RDBMS for web applications.


  • Widely used: A large community and extensive support.
  • Good performance: Efficient for web-based applications.
  • Scalability: Suitable for larger applications.


  • Licensing: Can be complicated for commercial use.
  • Less advanced functions: Compared to PostgreSQL, some advanced functions are missing.


PostgreSQL, often referred to as Postgres, is an advanced open source RDBMS.


  • Advanced functions: Supports advanced database functions such as complex queries and relational integrity.
  • High conformity with standards: Very close to SQL standards.
  • Expandability: Can be customized for specific requirements.


  • Complexity: Can be a little overwhelming for beginners.
  • More resource-intensive: Requires more system resources than SQLite.


The choice of the right RDBMS depends on the specific requirements of the project. SQLite is excellent for smaller applications and is extremely lightweight. MySQL is a solid choice for web applications and offers a good balance between functionality and simplicity. PostgreSQL, on the other hand, is ideal for complex, large database applications where advanced features are required.

Each of these systems has its justification and use cases, so the decision ultimately depends on the specific requirements and goals of each project.