PostgreSQL Data Access Components for Delphi 7 3.00

License: Free Trial ‎File size: 3.28 MB
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ABOUT PostgreSQL Data Access Components for Delphi 7

PostgreSQL Data Access Components (PgDAC) is a library of components that provides direct access to PostgreSQL database servers from the following IDEs: Embarcadero RAD Studio XE2 and XE, Embarcadero RAD Studio 2010, CodeGear Delphi 2009, C++Builder 2009, CodeGear RAD Studio 2007, Delphi 2007 for Win32/64, C++Builder 2007, Borland Developer Studio 2006, Delphi 2005, Turbo Delphi, Turbo Delphi for .NET, Turbo C++, Delphi 7,6, C++Builder 6, Lazarus and FreePascal for Win32/64 and Linux. 60-day fully functional trial versions of all products are available on Devart web site: www.devart.com/pgdac/download.html PgDAC is designed to help programmers develop really lightweight, faster and cleaner PostgreSQL database applications without deploying any additional libraries. PgDAC works directly through TCP/IP protocol and does not use the PostgreSQL client library. As data is transferred from socket to storage without additional buffers, the PgDAC performance is kept on the highest level. Key Features: * Direct access to server data without using client library * Full support of the latest versions of PostgreSQL Server * Application development for 64-bit Windows is supported * FireMonkey and VCL/LCL compatibility * VCL, VCL.NET, and LCL versions of library available * Support for all PostgreSQL Server data types * Disconnected Model with automatic connection control for working with data offline * Local Failover for detecting connection loss and implicitly reexecuting certain operations * All types of local sorting and filtering, including by calculated and lookup fields * Automatic data updating with TPgQuery, TPgTable, and TPgStoredProc components * Unicode and national charset support * Supports many PostgreSQL-specific features, such as notifications, notices, and sequences * Advanced script execution functionality with the TPgScript component * Support for using macros in SQL