Documentation
Getting StartedConnecting to a DatabaseProjectsQuery EditorResults & Data GridInline EditingCharts & VisualizationSchema DiagramsEXPLAIN PlansExport & ShareSSH TunnelingQuery HistorySecurity & CredentialsKeisen AIKeyboard ShortcutsTroubleshootingDatabase Guides
Getting Started
Download Keisen for your platform and install it. The app starts with a 7-day free trial — no account or credit card needed.
System requirements
- macOS 12+ (Apple Silicon)
- Windows 10+ (x64)
- Linux (AppImage, x64)
Installation
- macOS — open the
.dmgfile and drag Keisen to your Applications folder. If macOS shows an "unidentified developer" warning, right-click the app and select Open. - Windows — run the
.msiinstaller and follow the prompts. If SmartScreen blocks it, click "More info" then "Run anyway". - Linux — download the
.AppImage, make it executable (chmod +x Keisen.AppImage), and run it.
Creating your first project
- Launch Keisen. You'll see the project selector in the top-left corner.
- Click New connection and select your database engine (SQLite, PostgreSQL, MySQL, or Redis).
- Fill in the connection details — or paste a connection URL directly.
- Choose a color to identify this project at a glance.
- Click Connect. Keisen will connect and load the schema automatically.
Running your first query
- Type a SQL query in the editor — e.g.
SELECT * FROM users LIMIT 10. - Press
⌘ Enter(macOS) orCtrl+Enter(Windows/Linux) to execute. - Results appear in the grid below the editor with column types, row counts, and execution time.
What's included in the trial
The 7-day trial gives you full Pro-tier access: all database engines, AI assistant (2,500 queries), charts, EXPLAIN plans, schema diagrams, inline editing, export, SSH tunneling, and everything else. No feature is locked during the trial.
Next steps
- Connect to a database — connection URLs and engine-specific setup
- Learn the query editor — shortcuts, autocomplete, multi-statement execution
- Explore your schema — ER diagrams and table browser
- Try Keisen AI — natural language to SQL