About 50 results
Open links in new tab
  1. HeidiSQL - MariaDB/MySQL, MSSQL, PostgreSQL, SQLite and Interbase ...

    HeidiSQL is free software for people who work with databases, and aims to be intuitive to use. "Heidi" lets you connect to a variety of databases, like MariaDB, MySQL, Microsoft SQL, PostgreSQL, …

  2. Download HeidiSQL

    Apr 12, 2026 · Download your free copy of HeidiSQL here. Or download the sources.

  3. Technical help document - HeidiSQL

    HeidiSQL is a so called client application, only usable when you have some server available. So, make sure you have some MariaDB, MySQL, MS SQL, PostgreSQL server or SQLite database file to …

  4. Screenshots and features of HeidiSQL

    Screenshots of different parts of HeidiSQL in action.

  5. HeidiSQL 12.13 available for Windows and Linux

    Nov 3, 2025 · The current AUR infra also needs restructuring. The package is just named heidisql but should actually be named heidisql-bin because there's source available. The normal one should build …

  6. Feature Request: Native HeidiSQL Version for macOS (Intel & Apple …

    Nov 10, 2025 · Hello HeidiSQL team, First of all, thank you for the great work you’ve done with HeidiSQL over the years. It’s a very powerful and user-friendly tool, and it clearly has a strong …

  7. Forum - HeidiSQL

    HeidiSQL user to user forum. Developers and other users are welcome to discuss new features, problems and questions here.

  8. HeidiSQL 12.15 for Windows, Linux and macOS

    Jan 30, 2026 · HeidiSQL is the only program I've missed since switching to Linux about a year ago. I'm happy to help debug the errors with bug reports and tests, if you're interested.

  9. User - HeidiSQL

    HeidiSQL is built with Embarcadero Delphi Linux and macOS versions built with Lazarus and FreePascal HeidiSQL on Instagram HeidiSQL on Bluesky Imprint Website hosted by Manitu

  10. Themes - HeidiSQL

    Style themes for HeidiSQL Most of these themes are created by Embarcadero, except for the Material theme, which was created by HeidiSQL user Charlie Etienne.