The cross-platform SQL IDE that replaces Azure Data Studio.

Open SQL Server, Postgres, MySQL, and Oracle from one app — with built-in AI agents and MCP. Free for personal use, on Mac, Windows, and Linux.

Jam SQL Studio table explorer with grid, filtering, and sidebar

Table Explorer in Jam SQL Studio — see the full tour

Live demo · click anywhere
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📓 SQL Notebooks
⚡ IntelliSense
📊 Execution Plans
📈 Built-in Charts
⚖️ Schema Compare
🤖 AI Workspace + MCP
SQL Server PostgreSQL MySQL MariaDB Oracle SQLite Azure SQL
“A powerful and intuitive Mac-native SQL tool that makes working with complex, multi-schema databases seamless. The team is highly responsive and committed to continuously enhancing the user experience.”
John Du Toit, Senior Data & BI Architect (Cape Town, South Africa)

Free for personal use • No account required • Open MCP server

macOS Windows Linux
Still on Azure Data Studio?

Azure Data Studio stopped getting updates in February. Move your workflows in 15 minutes.

Microsoft retired Azure Data Studio on Feb 28, 2026 — no more security patches, no more bug fixes. Jam SQL Studio is the AI-native, cross-platform replacement: IntelliSense, execution plans, schema compare, and safe AI agent tooling via MCP. Open your existing .sql files and connections work the same way.

See How We Compare

SQL IDE Comparison: How Jam SQL Studio Compares

Choosing the right SQL tool? Here's how Jam SQL Studio stacks up against other popular options.

Feature comparison as of January 2026. Features may vary by version.
FeatureJam SQL StudioAzure Data StudioVS Code + MSSQLSSMSDBeaverDataGrip
AI-Native (MCP + Workspace)LimitedLimited
Claude Code CLI Integrated
SQL Notebooks (.ipynb)Extension
Cross-platform (Mac/Win/Linux)
Execution Plan VisualizationBasic
Schema Compare
Data CompareVia tools
Built-in ChartingPro only
Free Tier Available
SQL Server Support
PostgreSQL SupportExtension
MySQL / MariaDB Support
Oracle Support
DBA Tools (Sessions, Performance) 4 enginesPluginLimited
Modern UIClassic

What developers are saying

Real feedback from teams who have switched to Jam SQL Studio.

“As an abandoned user of Azure Data Studio, I was left looking for a good replacement… JamSQL is my new go-to tool for SQL.”
Robb Schiefer, VP of Software
“I recently switched to Linux from Windows. As a full stack dev my only missing piece was a solid SQL client. You guys filled it.”
Craig Geil, independent consultant, Geil Tech LLC

How to Migrate from Azure Data Studio

Moving from Azure Data Studio to Jam SQL Studio takes just a few minutes. Here's everything you need to know to make the switch before the February 2026 deadline.

1

Download Jam SQL Studio

Download Jam SQL Studio for your operating system (macOS, Windows, or Linux) and install it. No account required — the app is ready to use immediately.

2

Re-create Your Database Connections

Open Jam SQL Studio and add your SQL Server, PostgreSQL, MySQL, Oracle, or Azure SQL connections. Use the same server addresses and credentials from Azure Data Studio. Supports SQL authentication, Windows auth, and Microsoft Entra ID.

3

Transfer Your SQL Scripts

Copy your .sql query files from your Azure Data Studio workspace to any folder on your computer. Open them directly in Jam SQL Studio — they work exactly the same way, with full IntelliSense support.

4

Explore New Features

Discover capabilities beyond Azure Data Studio: AI workspace sync for coding agents, built-in charting, data compare, and more. Use familiar keyboard shortcuts from SSMS and Azure Data Studio.

What You Can Bring to Jam SQL Studio

SQL query files (.sql) Notebook files (.ipynb) Connection credentials Database projects Saved scripts Keyboard shortcuts
Download Jam SQL Studio Free

Free for personal use — no credit card, no account required.

Ready in under a minute

Install Jam SQL Studio and connect to your first database. Free forever for personal use — Pro features unlock a 14-day trial automatically.

Everything You Need

Six pillars covering every stage of SQL development — from writing queries to operating production databases.

🤖

AI-Native

The first SQL IDE built for AI agents. Local MCP server, AI Workspace, and an in-app Claude Code chat — all opt-in and localhost-only.

  • Local MCP server (13 tools, 9 resources)
  • AI Workspace with auto-generated CLAUDE.md + schema export
  • In-app Claude Code chat sidebar
  • jam-sql CLI for terminal access
  • Bearer token auth, audit logs, read-only by default
🗄️

Universal Database Support

One IDE for every engine your team runs — with consistent IntelliSense, schema browsing, and editor UX across the lot.

  • SQL Server, Azure SQL, Postgres, MySQL, MariaDB
  • Oracle 12.2+ / 19c / 21c / 23ai (Thin mode — no client)
  • SQLite for local files and demos
  • Microsoft Entra ID auth (device code, MFA-friendly)
  • Smart, context-aware IntelliSense everywhere
📊

Analysis & Comparison

Understand your data and your schema. Compare environments, profile queries, and ship visualizations without leaving the editor.

  • Visual execution plans (tree + graph, side-by-side compare)
  • Schema compare with ALTER/CREATE/DROP sync scripts
  • Data compare with INSERT/UPDATE/DELETE diffs
  • Built-in charting: bar, line, pie, area, scatter
  • SQL Notebooks (Jupyter-compatible .ipynb)
  • Dependency viewer + visual schema overview
👁️

DBA & Operations

Production-grade tools for the people who keep databases running — across four engines, on every OS.

  • Session Browser — monitor and kill active sessions
  • Performance Dashboard — counters, top SQL, wait stats
  • Tablespace Manager (Oracle) + Filegroup Manager (SQL Server)
  • Backup & Restore (.bak, .bacpac, pg_dump)
  • One-click clone of databases and tables
⌨️

Productive Editor

Every shortcut, every drill-down, every workflow you expect from a premium IDE — without the licensing fees.

  • Command Palette (Cmd+Shift+P) for everything
  • Table Explorer with inline editing and FK lookups
  • Script generation (CREATE/ALTER/DROP/SELECT/INSERT)
  • Query history, snippets, and script management
  • Per-tab transaction control + integrated terminal
  • Data export to CSV, JSON, XLSX
🌐

Cross-Platform & Free

Native on Mac, Windows, and Linux. Free for personal use forever — no account, no telemetry, no surprise paywalls.

  • macOS (Apple Silicon + Intel), Windows, Linux (deb/rpm)
  • Modern UI with full dark mode and SSMS/ADS shortcuts
  • Session persistence — resume exactly where you left off
  • Free Personal tier, no account required
  • 14-day Pro trial unlocks automatically — no credit card

Database Support

Connect to your favorite databases with full IntelliSense and query execution support.

View all supported databases →

AI-Native Database Tooling

The first SQL IDE designed from the ground up for AI coding assistants — with a full MCP server, 13 tools, 9 resources, and secure local-first architecture.

🏠

AI Workspace Inside the App

Use the integrated terminal with file-backed tabs. AI edits .sql files, your editor updates in real-time.

  • Bidirectional file sync
  • Auto-generated context
    (CLAUDE.md, AGENTS.md)
  • Schema export to .schema/
  • Results history to .history/
  • Knowledge pack in .knowledge/
💬

AI Chat Claude Code CLI

Chat with Claude directly inside Jam SQL Studio. Uses your local Claude Code CLI installation — your subscription, your settings, your context.

  • Claude Code CLI integrated in-app
  • Re-uses your local subscription
  • Full database context via @-mentions
  • Schema-aware conversations
  • No extra API keys needed

See What AI Agents See

When you open an AI Workspace, Jam SQL Studio auto-generates context files that give AI agents everything they need to understand your database.

~/my-project/.ai-workspace
$ cat CLAUDE.md

# Jam SQL Studio - AI Context

## Active Connection
- Name: Production DB
- Engine: PostgreSQL 15.2
- Database: ecommerce_prod

## Database Schema
Tables: 24 | Views: 8 | Functions: 12

users (id, email, name, created_at, subscription_tier)
orders (id, user_id → users.id, total, status, created_at)
products (id, name, price, category_id → categories.id)
order_items (order_id → orders.id, product_id → products.id, qty)

## MCP Tools Available
 query_execute - Run read-only SQL (SELECT, EXPLAIN)
 connections_list - List saved connections
 ui_open_tab - Open query/table tabs
 ui_set_editor_text - Write SQL to editor

## Quick Examples
# Get top customers by order count
SELECT u.name, COUNT(o.id) as order_count
FROM users u JOIN orders o ON u.id = o.user_id
GROUP BY u.id ORDER BY order_count DESC LIMIT 10;

# Check index usage
EXPLAIN ANALYZE SELECT * FROM orders WHERE status = 'pending';

## Files in Workspace
.schema/users.sql       # CREATE TABLE DDL
.schema/orders.sql      # CREATE TABLE DDL
.history/2024-01-19.md  # Today's query results
queries/analysis.sql    # Your active query tab

The CLAUDE.md file is auto-generated and stays in sync with your active connection and schema. AI agents read this file to understand your database structure before writing queries.

🔒
Privacy First: Opt-In by Default

AI features are disabled by default. Query results history, write operations, and detailed context sharing must be explicitly enabled in Settings → AI Integrations. You control exactly what AI agents can see and do.

MCP Server Capabilities

A complete toolset for AI-driven database workflows

🔗 Connection Tools

  • connections_list — List saved connections (no secrets)
  • query_execute — Execute read-only SQL queries

🖥️ UI Control Tools

  • ui_open_tab — Open query editor or SQL notebook tabs
  • ui_focus_tab — Switch to a specific tab
  • ui_set_editor_text — Write SQL to query editor or notebook cells
  • ui_close_tab — Close tabs
  • ui_lock_tab / ui_unlock_tab — Prevent conflicts
  • ui_check_abort — Check for user abort requests

📊 Table Viewer Tools

  • table_set_filter — Apply column filters
  • table_set_sort — Sort by column
  • table_set_pagination — Navigate pages
  • table_get_snapshot — Get current table state

📖 Context Resources

  • workspace_snapshot — Active workspace state
  • connections_snapshot — Connection status
  • tabs_snapshot — Open tabs and editors
  • editor_snapshot — Active editor content
  • results_snapshot — Query results preview
  • selection_snapshot — Selected explorer item

📚 Knowledge Resources

  • app_manifest — App version & features
  • app_capabilities — Supported workflows
  • app_user_guide — How-to documentation

Works With Your Favorite AI Tools

🔐

Secure by Default

MCP server binds to 127.0.0.1 only. Bearer token required. Strict read-only queries by default. Configurable policy levels (block, confirm, allow). Full audit logging of every tool call.

Command-Line Access with jam-sql CLI

Use Jam SQL Studio from any terminal. The Go-based CLI wraps the MCP server for quick database access.

jam-sql doctor — Check installation & MCP status
jam-sql connections — List saved connections
jam-sql query -c prod "SELECT * FROM users LIMIT 5"
jam-sql tools / jam-sql resources — Explore MCP
Terminal
$ jam-sql doctor
✓ Jam SQL Studio installed
✓ MCP server running on :14507
✓ Authentication configured
✓ Read-only mode enabled

$ jam-sql connections
ID        NAME          ENGINE      SERVER
conn_1    Production    PostgreSQL  prod-db.company.com
conn_2    Staging       MSSQL       staging.database.windows.net
Execution Plan Viewer in Jam SQL Studio showing tree view with operator cost breakdown

Deep Query Analysis

Understand exactly how your queries execute with detailed execution plan visualization.

  • Tree and graph view modes
  • Operator cost breakdown
  • Plan comparison side-by-side
  • Import/export for team sharing
  • Search and highlight expensive operations
Table Explorer in Jam SQL Studio showing data grid with filtering and sorting

Powerful Data Exploration

Browse, filter, and edit your data with a spreadsheet-like interface designed for databases.

  • Advanced filtering and sorting
  • Inline cell editing with validation
  • Foreign key lookup popovers
  • Row details panel with JSON preview
  • Multi-format data export

What's Next: PostGIS Support

Visualize geometry columns on a map, spatial data types, and query result map rendering — coming soon for PostgreSQL users.

Simple, Transparent Pricing

Start free with a 14-day Pro trial. No credit card required.

Personal

Free
Forever
  • Unlimited SQL Server connections
  • Unlimited PostgreSQL connections
  • Unlimited MySQL connections
  • IntelliSense & auto-complete
  • Query execution & results
  • Table explorer & data editing
  • Basic charting
  • AI Workspace sync
  • Execution plan analysis
  • Priority support
Download Free

Pro Monthly

$9.99
per month
  • Everything in Personal
  • AI Workspace sync
  • Execution plan visualization
  • Advanced charting & export
  • Schema comparison tools
  • Priority email support
  • Commercial use license
Try Pro Free for 14 Days

Download the app → trial starts in one click. No credit card.

Enterprise

Volume licensing, priority support, SSO/SAML (coming soon), and dedicated account management for your team.

Custom pricing Contact Sales

All plans include a 14-day free trial of Pro features. No credit card required • Cancel anytime in-app. Download now to start your trial.

Frequently Asked Questions

Everything you need to know about Jam SQL Studio and migrating from Azure Data Studio.

What is happening to Azure Data Studio?

Microsoft retired Azure Data Studio on February 28, 2026, as announced on February 6, 2025. Microsoft recommends users migrate to the VS Code MSSQL extension or SQL Server Management Studio (SSMS).

However, these alternatives lack many features that made Azure Data Studio popular, such as built-in charting, cross-platform support (for SSMS), and a modern UI. Jam SQL Studio is designed to be a complete replacement with additional features like AI agent support.

Is Jam SQL Studio free?

Yes! Jam SQL Studio offers a free Personal tier that includes unlimited SQL Server and PostgreSQL connections, IntelliSense, query execution, table explorer, and basic charting — forever free with no account required.

Pro features like AI Workspace sync, execution plan visualization, and schema comparison are available through monthly ($9.99/mo) or annual ($99/yr) subscriptions. All new users get a 14-day free trial of Pro features.

Does Jam SQL Studio work on Mac, Windows, and Linux?

Yes! Jam SQL Studio is a cross-platform desktop application available for macOS, Windows, and Linux. Unlike SSMS which only runs on Windows, you can use Jam SQL Studio on any major operating system with the same features and experience.

We also offer a browser-based demo that runs SQLite directly in your browser — great for trying out the interface before downloading.

What databases does Jam SQL Studio support?

Jam SQL Studio currently supports:

  • Microsoft SQL Server — Full support including Azure SQL Database and Managed Instance
  • PostgreSQL — Including Azure Database for PostgreSQL and Amazon RDS
  • MySQL — MySQL 5.7+ and 8.x, including Amazon RDS and Azure Database for MySQL
  • MariaDB — MariaDB 10.x and 11.x
  • Oracle Database — Oracle 12.2+, 19c, 21c, and 23ai with Thin mode (no Oracle Client required). Full support for PL/SQL, packages, sequences, synonyms, DB links, and materialized views
  • SQLite — Local file-based databases

All database engines include IntelliSense, query execution, table explorer, and data export capabilities.

How does Jam SQL Studio compare to SSMS?

SQL Server Management Studio (SSMS) is a powerful tool but has limitations. Jam SQL Studio offers several advantages:

  • Cross-platform SQL client — Works on Mac and Linux, not just Windows
  • Modern UI — Clean, responsive interface with dark mode
  • AI Agent Support — First-class integration with AI coding assistants
  • Built-in Charting — Create visualizations directly from query results
  • PostgreSQL Support — Connect to PostgreSQL alongside SQL Server

Jam SQL Studio includes execution plans, schema compare, and data compare features that SSMS users rely on.

Does Jam SQL Studio support AI coding assistants?

Yes. Jam SQL Studio supports AI coding assistants in three complementary ways:

  • Claude Code-powered AI Chat Sidebar — A built-in chat panel in the Query Editor and SQL Notebooks powered by your locally installed Claude Code CLI. No extra subscription — reuses your existing Claude Code setup. Ask questions, get SQL suggestions, and let Claude interact with your database.
  • AI Workspace (inside the app) — Query tabs sync to .sql files, plus auto-generated context files (schema, history, results). Iterate with AI agents in the integrated terminal.
  • MCP Tooling (outside the app) — Jam SQL Studio runs a local MCP server (Model Context Protocol) so external AI apps can safely list connections (no passwords) and execute policy-controlled queries.

Works with Claude Code, Claude Desktop, OpenCode, Codex CLI, GitHub Copilot, and other AI agents.

Does Jam SQL Studio support MCP (Model Context Protocol)?

Yes. Jam SQL Studio can run a local MCP server (Model Context Protocol) so AI agents can list saved connections (no passwords) and execute strict read-only queries (SELECT/EXPLAIN).

The MCP endpoint is localhost-only and protected with a bearer token, so it stays on your machine.

Can I import my Azure Data Studio settings?

Currently, Jam SQL Studio does not have an automatic import feature for Azure Data Studio settings. However, migrating is straightforward:

  • Connections — Re-create your server connections (one-time setup)
  • Queries — Copy your .sql files to any folder and open them
  • Keyboard Shortcuts — Jam SQL Studio uses familiar shortcuts from SSMS and Azure Data Studio

We're considering an import wizard for a future release based on user feedback.

How do I get support?

For support, contact us at [email protected].

  • Personal Tier — Email support for all users
  • Pro Subscribers — Priority email support with faster response times
  • Enterprise — Dedicated account management and custom SLAs available

Download Jam SQL Studio

Free for personal use, on every platform. Pro features unlock a 14-day trial automatically — no credit card required.

Comparing SQL Tools?

See how Jam SQL Studio compares to other popular database IDEs.

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