SQLite Data Access Components 5.1
Provides native connectivity to SQLite from Delphi, C++Builder, Lazarus
Program info
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 provides two ways of connection to SQLite from Delphi and other IDEs. One of them is common connection by means of the native SQLite client library. The second is a unique possibility of direct access using static linking of the client library in an application.
Key features
* RAD Studio 11.1 Alexandria is supported
* Lazarus 2.2.0 is supported
* Windows 11 is supported
* macOS Monterey is supported
* Basic SQLite connectivity components
* Support for Windows development
* Support for all IDEs, from Delphi 6 up to latest RAD Studio
* High-performance DML batch updates
* Full SQLite data types support
* Timely and professional customer support
* On-demand night builds with fixes
* Direct SQLite connectivity
* Support for SQLite database encryption
* Mobile application development
* Support for macOS and Linux development
* High-performance fill database via TLiteLoader
* Extended support for SQLite-specific functionality
* Advanced dataset management features
* Source code
* Lazarus and Free Pascal support
You can always find the latest version of the product on the official Devart website.
Details
Extensions
No information available
The data will be available later.Related stories
See allMicrosoft has announced that it will no longer sell face recognition technologies. The company also restricts access to facial recognition AI tools.
There was enough time to explore all the functional changes in Windows 11 and make use of the most notable ones, which are described in this article.
Artificial intelligence for suspicious users that (over)value privacy.