Azure Database for MySQL vs. Azure Database for PostgreSQL vs. GaussDB vs. SQLite Data Access Components Comparison Chart

Focus on application innovation, not database management, with a fully managed and intelligent Azure Database for PostgreSQL. Scale your workload quickly with ease and confidence. Enjoy high availability with a service-level agreement (SLA) of up to 99.99 percent uptime and a choice of same-zone or zone-redundant high availability, AI-powered performance recommendations, and built-in enterprise security. Focus on application innovation with a fully managed PostgreSQL database as a service. The zone-redundant high availability automates maintenance, patching, and updates. Provision in minutes and independently scale compute or storage. Decrease costs with comprehensive database monitoring and optimization tools. Take advantage of intelligent performance recommendations to help ensure peak performance. Migrate with ease using a fully managed PostgreSQL database with support for the latest versions. Build with your favorite PostgreSQL extensions such as Cron, PostGIS, PLV8, etc.

Enjoy the highest performance and unlimited possibilities when working with SQLite. SQLite Data Access Components (LiteDAC) is a library of components that provides native connectivity to SQLite from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) on Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. LiteDAC is designed for programmers to develop truly cross-platform desktop and mobile SQLite database applications with no need to deploy any additional libraries. LiteDAC-based DB applications are easy to deploy and do not require the installation of other data provider layers (such as BDE or ODBC), and that's why they can work faster than the ones based on standard Delphi data connectivity solutions. Moreover, LiteDAC provides an additional opportunity to work with SQLite in Delphi and C++Builder directly by linking the client library statically in your application.