Jam SQL Studio Free MySQL Client for Windows,
Mac (Apple Silicon) & Linux
Jam SQL Studio is a modern MySQL and MariaDB GUI with IntelliSense, session browser, performance dashboard, and AI agent support — one tool for both engines on every platform.
Free for personal use • No account required • Mac, Windows, Linux
Available Natively on Mac, Windows, and Linux
Jam SQL Studio ships a dark-mode-first desktop app for all three platforms, with a native Apple Silicon build on Mac. Weighing it against MySQL Workbench, DBeaver, DataGrip, or TablePlus feature-by-feature? See the full MySQL & MariaDB client comparison.
macOS
Native Apple Silicon build, plus Intel. Works on macOS 11+.
Windows
Full Windows support with native installer.
Linux
.deb, .rpm, and Arch packages for major distros.
Weighing this against MySQL Workbench, DBeaver, DataGrip, Navicat, or HeidiSQL? The feature-by-feature table lives on the best MySQL client comparison, kept current in one place.
Why Jam SQL Studio for MySQL?
Whether you manage MySQL, MariaDB, or both, Jam SQL Studio gives you a modern, cross-platform experience with DBA tools built in.
MySQL + MariaDB: One Tool for Both Engines
Connect to MySQL and MariaDB from the same connection dialog, using the same driver — no separate mode to pick, so you never need to switch tools.
Modern UI: Dark Mode, Apple Silicon Native
A clean, dark-mode-first interface that feels at home on every platform, with a native Apple Silicon build on Mac.
AI-Native: MCP Server + AI Workspace
Jam SQL Studio combines an AI Workspace (file-backed tabs + context) with a local MCP server (Model Context Protocol), so tools like Claude Desktop, Claude Code, OpenCode, and Codex CLI can safely query your databases under your AI policy.
DBA Tools: Session Browser and Performance Dashboard
Monitor active connections, kill runaway queries, and track real-time performance metrics without leaving the IDE. Purpose-built DBA tools for MySQL and MariaDB.
MySQL's ENUM and JSON Columns, Done Right
MySQL leans on ENUM and JSON columns more than most engines, so Jam SQL Studio treats them as first-class instead of raw text. Declare a column as an enum — from a native ENUM/SET type, a CHECK constraint's IN (...) list (MySQL 8.0.16+), or a plain sampled SELECT DISTINCT — and it becomes a searchable dropdown filter, capped at 200 distinct values before the picker falls back to a free-text filter. JSON columns get a dedicated filter chip with path sub-operators (equals, contains, comparisons, key presence, array-wildcard matching) built on JSON_CONTAINS_PATH, JSON_EXTRACT/JSON_UNQUOTE, and JSON_LENGTH — the one gap is recursive-descent (..) paths, which MySQL's JSON functions don't support and neither do we. See the Enum Columns and JSON Columns guides for the full mechanics.
Moving From MySQL Workbench
What you gain: a dark-mode UI, AI agent support via MCP, built-in charting, Schema Compare and Data Compare, and one place for MySQL alongside SQL Server, PostgreSQL, Oracle, and SQLite. Bringing your setup over is a one-click connection import — Jam SQL Studio reads your saved Workbench connections (Workbench keeps passwords in your OS credential vault, which the importer never touches) and imports whatever your ~/.my.cnf file contains, prefilling a plaintext password if it has one. What you don't get (yet): Workbench's two-way EER Modeler — Jam SQL Studio's Schema Overview is a read-only interactive diagram, not a drag-and-drop schema designer with forward engineering. For the full row-by-row breakdown, including the four jobs Workbench still does better, read the Jam SQL Studio vs MySQL Workbench comparison.
Key Features for MySQL & MariaDB
Everything you need to develop, manage, and optimize MySQL databases.
IntelliSense
Context-aware code completion for tables, columns, functions, and stored procedures — for both MySQL and MariaDB, no separate mode to configure.
Schema Overview
Visualize your database schema with an interactive diagram showing tables, columns, and relationships at a glance.
Session Browser
View all active MySQL connections, inspect running queries, and kill runaway sessions straight from INFORMATION_SCHEMA.PROCESSLIST. Filter to just the active ones, or search by user or host.
Performance Dashboard
Real-time metrics, top SQL queries by execution time, and wait statistics. Identify bottlenecks without leaving the IDE.
Charts
Create bar, line, pie, and scatter charts from query results. Export as SVG or PNG without leaving the IDE.
AI Agent Support
Built for agentic SQL workflows: AI Workspace inside the app + local MCP server (Model Context Protocol) for safe, policy-controlled agent queries.
Spatial Data on a Map
MySQL geometry columns render on interactive maps with SRID handled correctly — peek maps in the grid and Table Explorer spatial filters emitted as real MySQL spatial SQL.
How to Connect to MySQL
Three steps to get started with MySQL or MariaDB in Jam SQL Studio.
Download for Your Platform
Get the desktop app for Mac, Windows, or Linux from our download page.
Create a MySQL Connection
Click New Connection, select MySQL, enter your host (e.g., localhost:3306), username, password, and database name.
Write and Execute Queries
Open New Query, write your SQL, and press Cmd+E (Mac) or Ctrl+E (Windows/Linux) to execute. Results appear in the grid below.
Frequently Asked Questions
Common questions about using Jam SQL Studio with MySQL and MariaDB.
Does Jam SQL Studio support MariaDB?
Yes. Jam SQL Studio connects to MariaDB with the same connection dialog and driver used for MySQL — there's no separate mode to choose. SSL/TLS connections are supported for both.
Can I monitor MySQL performance?
Yes, the Performance Dashboard shows real-time metrics, top SQL queries, and wait statistics. The Session Browser lets you view active connections and kill runaway queries.
Does it support MySQL on cloud platforms?
Yes, Jam SQL Studio connects to Amazon RDS MySQL, Azure Database for MySQL, Google Cloud SQL, PlanetScale, and any MySQL-compatible database.
Is Jam SQL Studio free for MySQL?
Yes, the Personal tier is free forever with unlimited MySQL/MariaDB connections, IntelliSense, and all core features. No account required.
Choosing between MySQL clients, or wondering how this stacks up against MySQL Workbench? See Is Jam SQL Studio better than MySQL Workbench? and What is the best free MySQL GUI for Mac on Apple Silicon? on the full comparison page.
Working with JSON in MySQL?
MySQL has had a native JSON column since 5.7 (2015); with JSON_TABLE, JSON_VALUE, and multi-valued indexes (8.0.17+), it handles document workloads in the same engine as your relational tables.
Working with Spatial Data in MySQL?
MySQL geometry columns (SRID-prefixed WKB) render on interactive maps — peek maps in the grid, a Query Editor Map view, and Table Explorer spatial filters emitted as proper MySQL spatial functions like MBRIntersects (bounding-box) and ST_Distance_Sphere (distance).
Ready to Try a Modern MySQL Client?
Download Jam SQL Studio free and manage MySQL and MariaDB on Mac, Windows, or Linux.
Explore Other Databases
Jam SQL Studio supports multiple database engines from a single app.
Comparing MySQL Tools?
See how Jam SQL Studio compares to other popular MySQL clients.