Jam SQL Studio The SQL Notebook That Speaks
Your Database
Jupyter is great for data science. For SQL workflows, Jam SQL Studio offers purpose-built Jupyter-compatible notebooks with native IntelliSense, GUI connections, shared sessions, and Claude Code AI integration.
Free for personal use • Opens .ipynb files directly • Mac, Windows, Linux
Why Jupyter Falls Short for SQL
Jam SQL Studio vs Jupyter Notebooks for SQL
A side-by-side comparison of SQL notebook capabilities.
| Feature | Jam SQL Studio | Jupyter + SQL Extensions |
|---|---|---|
| SQL IntelliSense | ✓ Native, all engines | ✗ None |
| GUI Connection Manager | ✓ Built-in | ✗ Connection strings |
| Shared Sessions (Temp Tables) | ✓ Across all cells | Depends on kernel |
| SQL Engines | ✓ 6 engines (MSSQL, PostgreSQL, MySQL, MariaDB, SQLite, Azure SQL) | ✓ Via extensions |
| .ipynb Compatibility | ✓ Same format | ✓ Native |
| Markdown Cells | ✓ + Formatting Toolbar | ✓ Raw Markdown |
| JavaScript Cells | ✓ | Requires JS kernel |
| Python Required | ✓ No | ✗ Yes |
| AI Chat Sidebar (Claude Code) | ✓ Built-in | ✗ |
| MCP Server for AI Agents | ✓ | ✗ |
| Claude Code CLI Integrated | ✓ | ✗ |
| Keyboard Shortcuts (Command/Edit Mode) | ✓ Jupyter-style | ✓ |
| Drag & Drop Cell Reordering | ✓ | ✓ |
| Run All Sequential | ✓ | ✓ |
| Python / R Cells | ✗ | ✓ |
| Data Visualization Libraries | Built-in charting | ✓ matplotlib, plotly, etc. |
| Price | ✓ Free | ✓ Free |
Built for SQL, Not Adapted for It
Native SQL IntelliSense
Context-aware autocomplete for tables, columns, functions, and keywords across all supported databases. Jupyter has no SQL IntelliSense.
GUI Connection Manager
Set up, save, and switch connections through a visual interface. No connection strings, no magic commands, no driver installations.
Shared Database Sessions
All cells share a pinned database connection. Temp tables, variables, and SET options persist across cells without kernel restarts.
Claude Code AI Sidebar
AI Chat Sidebar powered by your locally installed Claude Code CLI. Add, edit, and execute cells with natural language. No extra subscription — uses your existing Claude Code setup.
No Python Required
Jam SQL Studio is a standalone desktop app. No Python, pip, virtualenv, or kernel management needed. Download and start writing SQL.
6 SQL Engines
Connect to SQL Server, Azure SQL, PostgreSQL, MySQL, MariaDB, and SQLite from the same notebook. Switch databases from the toolbar.
Get Started in 3 Steps
Download Jam SQL Studio
Free for Mac, Windows, and Linux. No account required.
Create or Open a Notebook
Use More > New Notebook to create a new SQL notebook, or More > Open Notebook to open any existing .ipynb file.
Connect and Run
Select a database connection from the notebook toolbar. Write SQL in code cells and press Ctrl+Enter / Cmd+Enter to execute. Results appear inline below each cell.
Frequently Asked Questions
Can I open Jupyter .ipynb files in Jam SQL Studio?
Yes. Use More > Open Notebook and select your .ipynb file. Jam SQL Studio supports the standard Jupyter Notebook v4 format. SQL cells are preserved as executable code cells.
Do I need Python or pip to use Jam SQL Notebooks?
No. Jam SQL Studio is a standalone desktop app. There is no Python runtime, pip, or kernel management required. Download, install, and start writing SQL immediately.
Does Jam SQL Studio support multiple SQL databases?
Yes. Jam SQL Studio supports SQL Server (including Azure SQL), PostgreSQL, MySQL, MariaDB, and SQLite. You can switch databases from the notebook toolbar without restarting a kernel or reconfiguring drivers.
Can I use AI with Jam SQL Notebooks?
Yes. Jam SQL Studio includes an AI Chat Sidebar powered by your locally installed Claude Code CLI. Claude can add, edit, and execute notebook cells, introspect your database schema, and run queries — all from a conversational chat panel alongside your notebook.
Is Jam SQL Studio free?
Jam SQL Studio offers a free Personal tier with unlimited connections, IntelliSense, query execution, table explorer, and SQL Notebooks. Pro features like AI Workspace sync, execution plans, and schema compare are available through monthly ($9.99/mo) or annual ($99/yr) subscriptions.
Ready for a Better SQL Notebook?
Download Jam SQL Studio free and open your .ipynb files directly.