Jam SQL Studio A HeidiSQL Alternative
for Mac, Windows and Linux
Jam SQL Studio is a modern SQL IDE for Mac, Windows, and Linux with AI agent support, execution plans, schema compare, and data compare — a polished cross-platform HeidiSQL alternative with features HeidiSQL lacks.
Free for personal use • No account required • Mac, Windows, Linux
Why Choose Jam SQL Studio Over HeidiSQL?
HeidiSQL is free for any use • Jam SQL Studio is free for personal use and adds tools HeidiSQL lacks
Jam SQL Studio vs HeidiSQL: Full Comparison
See how Jam SQL Studio compares to HeidiSQL for SQL development.
| Feature | Jam SQL Studio | HeidiSQL |
|---|---|---|
| Price | ✓ Free for personal use; Pro $99/yr for commercial use | ✓ Free (GPL), including commercial use |
| Mac | ✓ Apple Silicon and Intel | Apple Silicon only (since 12.15, January 2026) |
| Linux | ✓ .deb, .rpm, Arch; x64 and ARM64 | ✓ deb, RPM, Flatpak; x64 and ARM64 |
| Windows | ✓ | ✓ |
| Execution plans | ✓ Visual tree and graph, plan compare | EXPLAIN result as a grid |
| Schema compare | ✓ | ✗ |
| Data compare | ✓ | ✗ |
| Charts from query results | ✓ | ✗ |
| Schema diagram | ✓ Schema Overview | ✗ |
| SQL notebooks | ✓ .ipynb | ✗ |
| MCP server for AI agents | ✓ Starts blocked | ✗ |
| In-app AI chat | ✓ Uses your Claude Code or Codex CLI | ✗ |
| Autocomplete | ✓ Plus enum-value and JSON-path suggestions | ✓ |
| Enum value dropdowns | ✓ Native ENUM/SET, CHECK constraints, or sampled values | ENUM and SET dropdowns in the grid |
| Dark mode | ✓ | ✓ |
| MySQL / MariaDB, SQL Server, PostgreSQL, SQLite | ✓ | ✓ |
| Oracle | ✓ | ✗ |
| Azure Data Explorer (KQL) | ✓ | ✗ |
| Firebird, Interbase, Redshift, ProxySQL | ✗ | ✓ |
Why Developers Switch from HeidiSQL
HeidiSQL is a solid free tool that has shipped Linux builds since mid-2025 and an Apple Silicon Mac build since January 2026. People move when they need tools it does not have.
Advanced Database Tools
Get professional features HeidiSQL lacks: schema compare to sync database structures, data compare to identify row differences, visual execution plans for query optimization, and built-in charting. All included in the free Personal tier, for personal use.
Execution Plans You Can Read
HeidiSQL shows EXPLAIN output as a grid. Jam SQL Studio draws estimated and actual execution plans as a tree or graph on MySQL, PostgreSQL, SQL Server and Oracle, and compares two plans side by side.
AI-Native & Local-First
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 call SQL Studio as a database tool under your AI policy.
Intel Macs and Full SQL Server Support
HeidiSQL's official macOS build is Apple Silicon only, and it marks SQL Server support on Linux and macOS as basic. Jam SQL Studio ships Apple Silicon and Intel Mac builds, Windows, and Linux packages for x64 and ARM64, with the same features on each.
Bring Your Connections With You
Moving from another database tool? Import your saved connections in one click from Azure Data Studio, VS Code, SSMS, DBeaver, DataGrip, TablePlus, MySQL Workbench, Navicat, and pgAdmin — plus standard config files like tnsnames.ora, pg_service.conf, and ODBC. See how import works →
Features HeidiSQL Users Love
Professional SQL development features with cross-platform support.
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.
Execution Plans
Visualize query execution with tree and graph views. Compare plans side-by-side and identify performance bottlenecks.
Schema Compare
Compare database schemas across connections. Generate ALTER/CREATE/DROP scripts to sync differences.
Data Compare
Compare table data between databases. Generate INSERT/UPDATE/DELETE scripts to sync row-level differences.
Built-in Charting
Create bar, line, pie, area, and scatter charts from query results. Export as SVG or PNG.
Visual Schema Overview
Interactive graph visualization of your database schema with tables, views, and relationships.
Frequently Asked Questions
Common questions about switching from HeidiSQL to Jam SQL Studio.
Is Jam SQL Studio a good HeidiSQL alternative?
Yes, if you need tools HeidiSQL does not have: visual execution plans, schema compare, data compare, charts from query results, SQL notebooks and an MCP server for AI agents. HeidiSQL stays the better fit if you need Firebird, Interbase or Redshift, or free commercial use: it is GPL-licensed and free for any use, while Jam SQL Studio's free tier is for personal use.
Does HeidiSQL run on Mac and Linux now?
Yes. HeidiSQL has shipped Linux builds since mid-2025 (deb, RPM, Flatpak and tarballs, for x64 and ARM64) and an official macOS build since version 12.15 in January 2026. The macOS build is Apple Silicon only; there is no official Intel Mac download as of September 2026, and HeidiSQL marks its SQL Server support on Linux and macOS as basic. Jam SQL Studio ships Apple Silicon and Intel Mac builds, Windows, and Linux packages, with the same features on each.
Is Jam SQL Studio free like HeidiSQL?
Not in the same way. HeidiSQL is open source under the GPL and free for any use, including at work; the project accepts donations. Jam SQL Studio's Personal tier is free for personal, non-commercial use with no account; commercial use needs Pro at $9.99/month or $99/year.
What databases does Jam SQL Studio support compared to HeidiSQL?
Both support MySQL, MariaDB, SQL Server, PostgreSQL and SQLite. Jam SQL Studio also supports Oracle and Azure Data Explorer (KQL). HeidiSQL also supports Interbase, Firebird, Redshift and ProxySQL.
Can I migrate from HeidiSQL to Jam SQL Studio?
Yes. Your SQL scripts are standard .sql files that open unchanged. Jam SQL Studio has no HeidiSQL connection importer, so you recreate connections with the same host, port and credentials; if you also use MySQL Workbench, DBeaver or DataGrip, it can import those saved connections.
Does Jam SQL Studio have AI features that HeidiSQL lacks?
Yes. HeidiSQL has no AI features. Jam SQL Studio has an in-app AI chat that uses your Claude Code or Codex CLI, an AI Workspace with file-backed query tabs and auto-generated context, and a local MCP server (Model Context Protocol) so Claude Desktop, Claude Code, OpenCode or Codex CLI can query your databases. The MCP server is localhost-only and token-authenticated, and it starts blocked: read-only access and approval-gated writes are opt-in.
How do execution plans compare?
HeidiSQL's Explain command runs EXPLAIN and shows the result as a grid. Jam SQL Studio captures estimated and actual plans on MySQL (EXPLAIN FORMAT=JSON and EXPLAIN ANALYZE), PostgreSQL, SQL Server and Oracle, draws them as a tree or graph with per-operator detail, and compares two plans side by side.
Does Jam SQL Studio support MySQL like HeidiSQL?
Yes. Jam SQL Studio supports MySQL 5.7 and later and MariaDB 10.2 and later, with IntelliSense, Table Explorer, Schema Compare, Data Compare, execution plans, and ENUM and JSON column filters. HeidiSQL also has ENUM and SET dropdowns in its grid; Jam SQL Studio additionally builds dropdowns from CHECK constraints or sampled values, and suggests enum values and JSON paths in the SQL editor.
Is Jam SQL Studio faster than HeidiSQL?
We haven't benchmarked the two head-to-head, and both are fast enough for everyday SQL work. HeidiSQL is a native application built with Delphi on Windows and Lazarus on Linux and macOS; Jam SQL Studio is built on Electron.
Ready to Upgrade from HeidiSQL?
Download Jam SQL Studio free and experience modern SQL development with AI support, schema compare, and data compare.
Comparing Other SQL Tools?
See how Jam SQL Studio compares to other popular database tools.