Download Devart PostgreSQL Data Access Components (PgDAC) v6.4.1 for Delphi 10.4 (Win32/64/Android32) Cracked

Devart PostgreSQL Data Access Components (PgDAC) v6.4.1 for Delphi 10.4 (Win32/64/Android32)

Devart PostgreSQL Data Access Components (PgDAC) v6.4.1 for Delphi 10.4 (Win32/64/Android32)
Devart PostgreSQL Data Access Components (PgDAC) v6.4.1 for Delphi 10.4 (Win32/64/Android32)


PostgreSQL Data Access Components (PgDAC) is a library of components that provides native connectivity to PostgreSQL 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. PgDAC is designed to help programmers develop really lightweight, faster and cleaner PostgreSQL database applications without deploying any additional libraries.

PgDAC is a complete replacement for standard PostgreSQL connectivity solutions and presents an efficient alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to PostgreSQL. It provides direct access to PostgreSQL without PostgreSQL Client.

Native Connectivity to PostgreSQL
PgDAC-based DB applications are easy to deploy, do not require 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, PgDAC provides an additional opportunity to work with PostgreSQL directly via TCP/IP without involving PostgreSQL Client.

Wide Coverage of PostgreSQL Features
PgDAC allows developers to optimize their database applications and harness the full capabilities of PostgreSQL. PgDAC features complete support for fast record insertion, Asynchronous Notification, PostgreSQL sequences, retrieving the last inserted OID value, notices, and more.

SSL Connection
Large Objects
Direct connection
Composite types
REF Cursor
Transparent application failover
Notices
Interval
Geometric types
and more...

Cross-Platform Solution for Delphi, C++Builder, and Lazarus
PgDAC is a cross-platform solution for developing applications using various IDEs: RAD Studio, Delphi, C++Builder, Lazarus (and FPC) on Windows, Linux, macOS, iOS, Android, and FreeBSD for both x86 and x64 platforms. PgDAC also provides support for the FireMonkey platform, which allows you to develop visually spectacular high-performance desktop and mobile native applications.

Secure Connection
You can use SecureBridge components with data access components to embed an SSL, SSH, or HTTP/HTTPS clients into your application to establish a secure connection to the server.

Direct Mode
Allows your application to work with PostgreSQL directly without involving PostgreSQL connectivity solutions, thus significantly facilitating deployment and configuration of your applications.

Mobile Development
Develompent for iOS and Android mobile devices using PgDAC becomes still easier, as PgDAC allows your mobile applications to work with PostgreSQL database as simply as desktop applications do.

Database Compatibility
Our product supports PostgreSQL server versions from 8.0 to 13, Microsoft Azure Database for PostgreSQL, Amazon RDS for PostgreSQL, Amazon Aurora, and Google Cloud for PostgreSQL.

IDE Compatibility
Our product is compatible with the latest IDE versions and editions including Community Edition: Embarcadero RAD Studio 10.4 Sydney, Delphi 10.4 Sydney, C++ Builder 10.4 Sydney, Lazarus (and FPC). It is also compatible with the previous IDE versions since Delphi 6 and C++Builder 6.

Data Type Mapping
If you want to make custom correspondence between PostgreSQL and Delphi data types, you can use a simple and flexible Data Type Mapping engine provided by PgDAC.

Development Platforms
All major GUI frameworks supported: develop VCL applications for Windows or cross-platform FMX applications in Delphi, as well as LCL applications for Windows, macOS, or Linux in Lazarus.

Performance
All our components and libraries are designed to help you write high-performance, lightweight data access layers, therefore they use advanced data access algorithms and techniques of optimization.

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