The September issue of EmberWings Magazine (2025/3) has landed, and it’s ablaze with a thrilling Halloween theme! Dive into the eerie and exciting world of Firebird with our latest edition, packed with insights, surprises, and a touch of spooky charm. [read more..]
New minor release of Jaybird 5
We would like to draw your attention to this in-depth article, written on the basis of real-world experience, and devoted to a rarely discussed topic: migration from Firebird to PostgreSQL.
Jaybird 6.0.3 and 5.0.9 released with bug fixes
The Firebird Project has discovered critical security issues in older versions of all supported releases. To avoid potential attacks, upgrade to the latest releases, they have the problem fixed.
The Firebird project has been highly active in recent months with numerous updates and releases. In July 2025, the project celebrated its 25th Anniversary, marking a quarter-century of development and community support. Two significant books were announced, 3 important articles were published, and EmberWings Q3/2025 was released.
Corrected version: "The new book "Secrets of Firebird Query Performance" is being prepared for publication in early November. 320 pages of concentrated knowledge about SQL in Firebird, execution plans, indexes, optimization techniques and more. See the contents of the book.
Time flies, and now we have the second edition of the must-have book for every Firebird developer: "Detailed new Features of Firebird, 2nd edition". This 129-page book has 11 chapters that explain how Firebird 5's new features work and how to use them. Price of book is EUR16.99.
This database comparison study analyzes storage efficiency between Firebird 5 and PostgreSQL 17 by creating identical tables with various data types (boolean, char, varchar, date, integer, numeric, float, time, timestamp) and populating them with one million rows each. The research compares space utilization across different data types, revealing that PostgreSQL stores integer types more efficiently (81 MB versus 99.63 MB in Firebird), while Firebird demonstrates better efficiency with character data types, particularly for larger field sizes like CHAR(200) (2604.25 MB versus 2728 MB in PostgreSQL), and floating-point numbers.
