Devart ODAC v11.3.2 Pro RAD Studio 10.4.1 Retail Full Source

ODAC is a component library that allows you to connect to the Oracle database in Delphi, C ++ Builder, Lazarus, and Free Pascal on Windows, Mac, iOS, Android, Linux, and FreeBSD on both 32-bit and 64-bit platforms.
Devart ODAC v11.3.2 Pro RAD Studio 10.4.1 Retail Full Source
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Author
Devart
Version
11.3.2
Updated
January 20, 2022
Requirements
Windows x64 or x86
Size
31.14 MB
Download
1387

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Description

ODAC is a component library that allows you to connect to the Oracle database in Delphi, C ++ Builder, Lazarus, and Free Pascal on Windows, Mac, iOS, Android, Linux, and FreeBSD on both 32-bit and 64-bit platforms. This library is designed to speed up developers’ access to Oracle Databases. ODAC stands for Oracle Data Access Components and is a complete and efficient solution with extensive capabilities for connecting to Oracle. This product is a good alternative to BDE or Borland Database Engin databases and standard dbExpress drivers.

Features

  • Direct access to server data without the need to install other data providers such as BDE or ODBC
  • Compatibility of communication interface with standard methods of data access
  • Availability of VCL, LCL and FMX versions
  • Separating the graphical interface from run-time, which allows you to build console programs such as CGI
  • Support for Unicode and international character sets
  • Easy distribution
  • No need for Oracle client in direct connection mode via TCP / IP
  • Disconnect mode to work with data offline
  • Ability to set the timeout time to connect to the server
  • Support for OS, Proxy validation
  • Ability to set the DBA access level to open sessions
  • Support for changing expired passwords
  • Support for IPv6 and IPv4 protocols
  • Full support for Oracle clients including Instant Client
  • Supports all Oracle data types in both OCI and direct mode
  • Support for advanced overclocking
  • Ability to use temporary LOB management routines
  • High performance and connection speed
  • Quickly flush large volumes of data
  • Quickly find data in sorted datasets
  • Ability to control the size of data blocks

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