Documentation
Short, factual pages that describe how QueryBench behaves, engine by engine. Constraints are stated plainly rather than hidden.
Getting started
Install QueryBench, open the sample workspace and connect your first database.
Connections, SSH and credentials
Saved connections, environment colors, SSH bastions, TLS, encrypted archives and reconnect shortcuts.
Data grid and staged changes
Browsing, filtering, selection, inline editing and the pending-changes review flow.
SQL and command editors
Tabs, completion, execution modes, history, cancellation and native MongoDB and Redis commands.
Structure, indexes and tools
Column editing, index management per engine, and the Tools menu.
Import, export and backups
Result and table exports, CSV, JSON and SQL imports, and complete database backups with optional S3 upload. Desktop only.
Stash and edit modes
No-Edit mode for production, and Stash, which keeps original rows before updates and deletes.
Desktop AI access (MCP)
Let an AI agent discover connections, describe tables and run paginated queries through a loopback MCP server.
Desktop and mobile
What is the same and what differs between macOS, Windows, Linux, iOS and Android.
Database engines
Engine-specific behavior for PostgreSQL, MySQL, SQLite, DuckDB, ClickHouse, MongoDB and Redis.
Keyboard shortcuts
Every QueryBench shortcut on one page. Use Ctrl in place of ⌘ on Windows and Linux.
Release notes
What changed in each QueryBench release.