HeidiSQL is an open-source database client for connecting to, querying, editing, and administering MariaDB, MySQL, Microsoft SQL Server, PostgreSQL, SQLite, Interbase, Firebird, ProxySQL, and Redshift databases.
HeidiSQL is an open-source database client that gives developers and administrators a graphical workspace for connecting to database servers, browsing schemas, editing table data, and running SQL. It supports MariaDB, MySQL, Microsoft SQL Server, PostgreSQL, SQLite, Interbase, Firebird, ProxySQL, and Redshift, so one application can cover several common database environments. The interface combines a database tree, data grids, object editors, query tabs, and connection management in one window. Users can create or alter database objects, inspect rows, execute statements, and manage multiple sessions without moving between separate administration tools for routine database work, supporting regular development and administration tasks.
HeidiSQL supports both direct server connections and secured workflows that use SSH tunnels or SSL settings, which is useful when databases are not exposed publicly. Its query editor provides syntax highlighting, code completion, multiple result tabs, SQL reformatting, and tools for inspecting large scripts. Data can be imported from text files or exported in formats such as CSV, HTML, XML, SQL, Markdown, and JSON, while server-to-server export is also available. Developers who manage application code with GitKraken can keep source control separate while using this client for database inspection and SQL tasks. Native builds are available for Windows, Linux, and macOS, although platform-specific behavior and packaging differ.
HeidiSQL makes day-to-day database administration faster by placing connection management, schema editing, query work, data browsing, and export tools in one focused interface. That reduces the need to switch between a command-line client, separate data viewers, and vendor-specific utilities for common tasks. Multiple connections can remain available in one window, while editable grids help users inspect and modify rows directly when appropriate. Visual editors simplify work with tables, views, routines, triggers, and scheduled events, and the query environment still gives experienced users direct SQL control. Import, export, search, user-management, and maintenance functions also shorten repetitive operational work across supported servers. Because HeidiSQL is open source and supports several database engines, teams can use a consistent desktop workflow across mixed environments while retaining access to the underlying SQL. Its relatively compact installer also makes it practical for development workstations, test systems, and administrative machines.
HeidiSQL can open several saved database sessions in one window, letting users move between servers without launching separate applications. Connections can target supported engines such as MariaDB, MySQL, Microsoft SQL Server, PostgreSQL, SQLite, Interbase, Firebird, ProxySQL, and Redshift. This is useful for developers or administrators responsible for mixed database environments.
HeidiSQL provides graphical editors for creating and changing tables, views, stored routines, triggers, and scheduled events. The editors expose structure and properties while still showing the SQL generated for many operations. This gives users a practical way to make schema changes without losing visibility into the database statements behind those changes.
HeidiSQL includes a query editor with customizable syntax highlighting, code completion, multiple result tabs, snippets, and SQL reformatting. Users can execute individual statements or larger batches and inspect returned datasets within the same workspace. These tools help reduce typing errors while keeping direct SQL available for detailed development, troubleshooting, and administrative tasks.
HeidiSQL displays table rows and query results in grids that support sorting, filtering, and direct editing where the database permits it. Specialized editors handle text, binary values, enumerations, sets, and date or time fields. This makes routine data inspection and correction more convenient than manually composing update statements for every small change.
HeidiSQL can import delimited text data and export rows in formats including CSV, HTML, XML, SQL, LaTeX, PHP, Markdown, and JSON. SQL exports can target files, the clipboard, another database, or another server. These options simplify migrations, backups, data exchange, reporting, and movement between development or test environments.
HeidiSQL supports database connections through SSH tunnels and can pass SSL settings for servers that require encrypted access. This allows administrators to reach databases that are intentionally unavailable through a direct public connection. Keeping secure connection settings with saved sessions also reduces repeated setup when returning to remote development, staging, or production systems.
HeidiSQL includes tools for administering database users, privileges, roles, and supported authentication plugins. Instead of building every grant or account-management statement manually, administrators can review assignments and adjust permissions through the interface. The capability is especially useful during routine access changes, while database-specific support can vary according to the connected server engine.
HeidiSQL can search for specific text across tables and databases, monitor active client processes, terminate problematic sessions, and perform supported table maintenance operations in batches. These utilities help diagnose activity and locate data without manually checking every object. For compatible servers, optimization, checking, analysis, and repair actions can also be started from the graphical interface.
Yes. It is distributed under the GNU General Public License version 2.0, so users can download, use, inspect, and modify the source under that license's terms. The project remains actively maintained and publishes release builds through its official site and GitHub repository.
The client supports MariaDB, MySQL, Microsoft SQL Server, PostgreSQL, SQLite, Interbase, Firebird, ProxySQL, and Redshift. The exact features available can differ by database engine because each server exposes different SQL syntax, object types, authentication methods, and administrative capabilities.
Yes. Saved sessions can use an SSH tunnel when a database server is not directly reachable, and SSL settings are also available for supported connections. This is useful for remote servers where administrators deliberately restrict direct database access and require a secured path.
Yes. The client can import text files and export rows in several formats, including CSV, HTML, XML, SQL, LaTeX, PHP, Markdown, and JSON. SQL export can also send data to files, the clipboard, another database, or another server, depending on the selected workflow.
Yes. The official download options include portable packages in addition to regular installers. A portable build can be useful when you want to run the client without a conventional installation, although configuration storage and platform-specific behavior should be reviewed before moving the application between systems.
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