HeidiSQL 12.17.0.7270

HeidiSQL: fast, free, and focused database management for developers

HeidiSQL is a mature, open-source database client that streamlines administration and development for MySQL, MariaDB, PostgreSQL and Microsoft SQL Server. Actively maintained and updated, the app combines a lightweight footprint with advanced tooling for querying, exporting, schema browsing and data editing — making it a practical choice for single developers and small teams who need a responsive, Windows-native experience with expanding cross-platform builds.

Key features that matter

• Query editor with productivity aids: multi-tab queries, syntax highlighting, code completion, query history and multi-query execution speed up development and troubleshooting.
• Direct table and row editing: edit, insert and delete rows inline; binary and BLOB editors are included for complex data types.
• Import and export flexibility: export to SQL, CSV, Excel and XML; import from common formats and generate bulk-insert scripts for migrations.
• Connection and session management: save and organize connections, tunnel over SSH, and manage multiple servers in one workspace.
• Schema and object tools: visual table and foreign key browsing, object scripting, index and constraint management, and table diff helpers.
• Portable and installer options: both installer and portable builds are provided for Windows, plus native packages for Linux and macOS builds targeting modern Qt toolchains.

Download, installation and platform support

• Latest stable release: HeidiSQL 12.x series (current stable build released in April 2026) with installers and portable executables for Windows 64-bit.
• Preview and next-gen builds: a v13 preview channel is available for early access to a rewritten codebase; preview builds can be installed side-by-side with stable versions.
• Linux and macOS: official .deb and .rpm packages and macOS arm64 app bundles are distributed; builds are available for QT5/QT6 and GTK2 where applicable.
• Package managers and archives: install via winget, Chocolatey, Arch/FreeBSD repositories, or download release archives from the project release pages.
• Installation notes: some Windows drivers require Microsoft Visual C++ redistributables; Linux QT builds may need auxiliary libraries on newer distributions. Settings are stored in JSON and can be exported/imported when migrating between platforms.

Why many developers choose HeidiSQL

• Speed and responsiveness: lightweight native UI keeps interactions snappy, even with large result sets.
• Multi-database convenience: one client to manage MySQL/MariaDB, PostgreSQL and MSSQL reduces context switching and tool fragmentation.
• Active maintenance: frequent updates fix bugs, improve compatibility and add practical features such as better FK resolution for MSSQL and export improvements.
• Free and open-source: permissive availability for personal projects, enterprise evaluation and community-driven enhancements.

Points to consider before adopting

• Windows-first design: the most polished experience is on Windows; Linux and macOS builds are available but may require additional dependencies or tweaks.
• Team collaboration: HeidiSQL focuses on desktop client workflows and lacks integrated collaboration features found in some cloud-native database platforms.
• Learning curve for power features: basic use is straightforward, but mastering advanced export/import options, SSH tunneling and cross-database nuances takes time.

Development activity and release cadence

• Regular bug fixes and feature releases: recent updates include fixes for ENUM detection, foreign key resolution in MSSQL, and quality-of-life export improvements.
• Nightly and preview builds: practitioners can access nightly builds when they need the latest fixes or want to test upcoming v13 changes, with the usual caveat that non-stable builds may contain regressions.

HeidiSQL remains a powerful, pragmatic tool for anyone who needs a responsive desktop client to manage relational databases. With stable installers, portable options, native Linux/macOS packages and an active development pipeline, it’s well-suited for development workflows that prioritize speed, direct data access and flexible export/import capabilities.