AUDFL: advanced version of rFunc with support for 64-bit Windows and Linux

AUDFL is an advanced version of popular rFunc UDF library for Firebird 2.0-2.5.x, with 32/64-bit support for Windows and Linux.
With AUDFL you can easy migrate your Firebird database with rFunc inside to 64-bit Firebird version.
AUDFL is developed by Maxim Filatov (www.ansoft.ru) and supported by IBSurgeon.
AUDFL is under LGPL license – i.e., it’s open source and it’s 100% free.
Here you can download 32- and 64-bit versions of AUDFL for Windows and Linux, or download full source code (SVN) and build AUDFL yourself using Visual Studio Express or gcc.

If you found a bug or another problem, please create an appropriate ticket.
If you need professional support on issues, related with rFunc/AUDFL, please contact IBSurgeon Support.

TurboBird a cross platform FireBird database admin tool written in Lazarus

Turbo Bird is a Firebird Administration tool. It enables you to create new Firebird database, create/modify tables, procedures, views, triggers, generators, roles, UDFs, Domains, and much more. Turbo Bird application is very easy to install and to use.
There are Linux 32 bit, Windows 32 bit, and Mac OS binaries. You can install the source and compile it using Lazarus in any other Plateform that already supported by Lazarus.

ANN: Firebird Data Sync released

Firebird Data Sync SQL Maestro Group starts a data comparison product family and announces the release of Firebird Data Sync, a powerful and easy-to-use tool for Firebird database contents comparison and synchronization. Key product features include:
  • Comparing and synchronizing database contents
  • Automatic creation of error-free synchronization scripts
  • Easy-to-read difference display
  • Saving all options to a project file for instant re-execution
  • Custom comparison keys and flexible auto-mapping tools
  • Full control over the comparison and synchronization
  • Powerful command-line interface for continuous integration

    There are also versions for other DBMS (MySQL, PostgreSQL, SQLite, Oracle, etc). Read full press-release.

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