Best SQL Notebook Tool in 2026
Compare SQL notebook IDEs for writing runbooks, documentation, and data analysis. Find the right .ipynb editor with GUI connections and multi-engine support — no kernel setup required.
Free for personal use • No account required • Mac, Windows, Linux
SQL Notebook Tool Comparison: 2026 Edition
A side-by-side comparison of tools for SQL notebooks.
| Feature | Jam SQL Studio | Azure Data Studio | Jupyter + SQL Kernel | VS Code + Polyglot | DataGrip |
|---|---|---|---|---|---|
| Status | ✓ Active | ✗ Retiring Feb 2026 | ✓ Active | ✗ Deprecated Mar 2026 | ✓ Active |
| .ipynb Format | ✓ | ✓ | ✓ | ✓ | ✗ |
| GUI Connection Picker | ✓ | ✓ | ✗ Connection strings | Manual | N/A |
| No Kernel Setup Required | ✓ | ✓ | ✗ Kernel required | ✗ Extension required | N/A |
| Multi-Engine Cells | ✓ MSSQL + PG + MySQL | MSSQL + PG | Per kernel | ✓ | N/A |
| Rich Result Grids | ✓ | ✓ | Plain text | Basic | N/A |
| IntelliSense in Cells | ✓ | ✓ | ✗ | Limited | N/A |
| Markdown Cells | ✓ | ✓ | ✓ | ✓ | N/A |
| Full SQL IDE Included | ✓ | ✓ | ✗ | With extensions | ✓ |
| AI Agent Support | ✓ MCP Server | ✗ | ✗ | ✗ | Limited |
| Cross-platform | ✓ | ✓ | ✓ | ✓ | ✓ |
| Free | ✓ | ✓ | ✓ | ✓ | ✗ $229/yr |
Why Teams Choose Jam SQL Studio for SQL Notebooks
The easiest way to write SQL notebooks — GUI connections, multi-engine support, and no kernel setup required.
Zero Setup Required
Unlike Jupyter, you don't need to install SQL kernels, configure connection strings, or manage Python environments. Open a notebook, pick a connection from the GUI dropdown, and start writing SQL immediately.
Azure Data Studio Notebooks Live On
Azure Data Studio popularized SQL notebooks but is retiring. Polyglot Notebooks is also deprecated. Jam SQL Studio carries forward .ipynb support with the same GUI connection experience, plus multi-engine support for SQL Server, PostgreSQL, and MySQL.
Perfect for Runbooks & Documentation
SQL notebooks combine queries with markdown documentation. Create runbooks for incident response, onboarding guides for new team members, data analysis reports, and deployment verification playbooks.
Full SQL IDE, Not Just Notebooks
Unlike standalone notebook tools, Jam SQL Studio is a complete SQL IDE with IntelliSense, execution plans, schema compare, data compare, charting, and AI agent support. Notebooks are one part of a professional toolkit.
SQL Notebook Features
Everything you need for productive SQL notebook workflows.
SQL + Markdown Cells
Mix SQL query cells with markdown documentation in standard .ipynb format. Share notebooks with your team.
GUI Connection Picker
Select database connections from a dropdown — no connection strings in code. Switch connections per cell.
Rich Result Grids
Results render as interactive grids with sorting, filtering, and export — not plain text tables.
IntelliSense in Cells
Full autocomplete for tables, columns, and functions inside notebook cells. Not available in Jupyter.
Multi-Engine Support
SQL Server, PostgreSQL, MySQL, and SQLite cells in the same notebook. Different connections per cell.
AI Agent Support
MCP server lets AI coding assistants understand your notebooks and database context. Generate documentation and queries with AI.
Frequently Asked Questions
Common questions about SQL notebook tools.
What is the best SQL notebook tool in 2026?
With Azure Data Studio retiring and Polyglot Notebooks deprecated, Jam SQL Studio is the best SQL notebook tool with GUI connections, multi-engine support, and .ipynb compatibility. Jupyter works but requires kernel setup. VS Code needs extensions.
What happened to SQL notebooks in Azure Data Studio?
Azure Data Studio is retiring February 28, 2026, and Polyglot Notebooks is deprecated March 2026. Jam SQL Studio carries forward SQL notebook support with .ipynb compatibility and GUI connections.
What is a SQL notebook?
A SQL notebook combines SQL queries with markdown documentation in a .ipynb file. Write queries, see results inline, add explanations, and share with your team. Great for runbooks, onboarding docs, and data analysis.
Does Jam SQL Studio support .ipynb files?
Yes. Jam SQL Studio reads and writes standard Jupyter .ipynb files. Open notebooks from Azure Data Studio, Jupyter, or VS Code. SQL cells execute with results as rich grids.
Do I need to install a SQL kernel?
No. Unlike Jupyter, Jam SQL Studio doesn't require kernel installation. SQL execution is built-in with GUI connection selection. Just open a notebook and start writing SQL.
Can I use multiple databases in one notebook?
Yes. Different cells can target different connections — SQL Server, PostgreSQL, MySQL, and SQLite in the same notebook. Each cell can have its own database connection.
Is Jam SQL Studio free for SQL notebooks?
Yes! SQL notebook support is included in the free Personal tier. No account required. Open, edit, and run .ipynb notebooks with unlimited database connections.
Download the Best SQL Notebook Tool
Open .ipynb files. GUI connections. No kernel setup. Free.
Comparing Other SQL Tools?
See how Jam SQL Studio compares to other popular database tools.
Jam SQL Studio