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Jam SQL Studio VS HeidiSQL

Compare Jam SQL Studio VS HeidiSQL and see what are their differences

Jam SQL Studio

Desktop SQL client for SQL Server, PostgreSQL, MySQL, Oracle and SQLite on Mac, Windows and Linux. Also works with Azure Storage and KQL: Azure Data Explorer, Application Insights and Log Analytics.

Rating
0 reviews
Pricing
Freemium Free trial $9.99 / Monthly (Commercial use)
Alternatives Is it good?
HeidiSQL

HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.

Rating
4.0 · 1 review
Pricing
Open source
Alternatives Is it good?
BusinessLOG SOC
A centralized log management and SIEM platform built for compliance, auditing, anomaly detection, and infrastructure visibility. sponsored

Which is more popular?

Database Management popularity
3% vs 97%
alternatives listed
12 vs 205

Base details

Website, pricing, platforms and company facts side by side.

Jam SQL Studio
HeidiSQL
Website jamsql.com heidisql.com
Pricing
Freemium Free trial $9.99 / Monthly (Commercial use) Official pricing
Open source
Platforms
Mac MacOS Mac OSX Linux Windows Ubuntu Omarchy +4
—
Company Startup from Poland · 1 - 9 employees · 2025 —
Listed in
Database Management Databases Database Management Tools MySQL Tools MySQL GUI SQL Client SQL Diagrams PostgreSQL MSSQL Server Azure Management Tools +7
Database Management Databases MySQL Tools Database Tools +1

About Jam SQL Studio and HeidiSQL

In their own words, as submitted to SaaSHub.

Jam SQL Studio
HeidiSQL

Jam SQL Studio is a desktop SQL client for SQL Server, PostgreSQL, MySQL, Oracle and SQLite, with Azure Data Explorer (KQL) and Azure Storage support. It runs on macOS (Apple Silicon and Intel), Windows and Linux. It includes a query editor with schema-aware autocomplete, a table explorer for...

Read more about Jam SQL Studio

No description of HeidiSQL yet.

Features and specs

What each product offers, as listed by its team.

Jam SQL Studio 12 features
HeidiSQL 7 features
  • Databases
    SQL Server, Azure SQL, PostgreSQL, MySQL/MariaDB, Oracle and SQLite, plus Azure Data Explorer (KQL) and Azure Storage
  • Query Editor
    Schema-aware autocomplete, multiple result sets and query history
  • Table Explorer
    Browse, filter, sort and edit table data without writing SQL
  • Schema Compare
    Side-by-side DDL diffs and synchronization scripts, also across engines
  • Data Compare
    Row-by-row diffs with generated INSERT/UPDATE/DELETE scripts
  • Query Builder
    Visual Query Editor allowing to create and edit queries without knowledge on given SQL dialect
  • Execution Plan
    Interactive plan graphs for SQL Server, PostgreSQL, MySQL and Oracle; compare two plans
  • SQL Notebooks
    SQL, JavaScript and Markdown cells, saved as .ipynb
  • Data Import/Export
    Import CSV, TSV, Excel, JSON and NDJSON into new or existing tables, Export to CSV, Excel, JSON
  • DBA Tools
    Session browser, performance dashboard, SQL Server Agent jobs, Query Store and deadlock analyzer
  • AI and MCP
    AI chat sidebar and a local MCP server for Claude Code, Codex CLI and other agents
  • Connection import
    Brings connections over from Azure Data Studio, DBeaver and others.
  • Cost
    HeidiSQL is open-source and free to use, which makes it an affordable choice for individuals and organizations.
  • Multiple Database Support
    The tool supports a wide range of database systems including MySQL, MariaDB, PostgreSQL, and SQL Server, providing flexibility for users.
  • User-Friendly Interface
    HeidiSQL offers an intuitive and easy-to-navigate interface, making it accessible for both beginners and experienced users.
  • Query Editor
    The integrated query editor includes syntax highlighting and autocompletion, which enhances productivity and reduces errors.
  • Data Export and Import
    Users can easily export and import data in various formats like CSV, SQL, and XML, facilitating data management tasks.
  • Active Community
    A strong community of users and developers provides support, plugins, and regular updates.
  • Session Management
    HeidiSQL offers advanced session management features, allowing users to handle multiple database connections simultaneously.

Possible disadvantages

  • Platform Limitation
    HeidiSQL is primarily designed for Windows, which can be a limitation for users on other operating systems like macOS and Linux.
  • Lacks Some Features
    Compared to some other database management tools, HeidiSQL may lack advanced features such as graphical execution plans and integrated SSH tunneling.
  • Performance Issues
    Users have reported occasional performance issues, especially when dealing with large datasets or complex queries.
  • Learning Curve
    While generally user-friendly, some features and configurations can still be complex for beginners, necessitating time to learn.
  • Limited Data Visualization
    The tool offers limited data visualization options, which may not be sufficient for users requiring advanced data analytics capabilities.
  • Dependency on Wine for Linux
    Running HeidiSQL on Linux typically requires using Wine, which can introduce compatibility issues and reduce performance.

Analysis

An editorial look at what each product does well and who it suits.

Jam SQL Studio
HeidiSQL

No analysis of Jam SQL Studio yet.

Overall verdict

  • HeidiSQL is generally considered a good SQL client, especially for users who work with MySQL, MariaDB, and PostgreSQL databases.

Why this product is good

  • User-Friendly Interface: HeidiSQL offers an intuitive and clean interface suitable for both beginners and experienced database administrators.
  • Feature-Rich: It provides a range of features such as database management, data browsing and editing, session management, query execution, and export/import capabilities.
  • Performance: HeidiSQL is lightweight, fast, and responsive, making it an efficient tool for database management.
  • Community Support: Being an open-source tool, it has a strong community that contributes to its development and offers support via forums and other channels.
  • Cross-Platform Compatibility: Though originally designed for Windows, HeidiSQL can be used on Unix-based systems using Wine, allowing for wider accessibility.

Recommended for

  • Database Administrators: Those who need a reliable and straightforward tool for managing MySQL, MariaDB, and PostgreSQL databases.
  • Developers: Coders who require an effective way to interact with their databases during the development process.
  • Students: Individuals learning SQL and database management who need a tool to practice and apply their knowledge.
  • Freelancers: Independent professionals who need a free, yet powerful, tool for their database tasks.

Videos

Walkthroughs and reviews on video.

Jam SQL Studio 0 videos + Add
HeidiSQL 3 videos + Add

No Jam SQL Studio videos yet. You could help us improve this page by suggesting one.

[HeidiSQL] Main features review

More videos

  • - Tutorial HeidiSQL with MariaDB and MySQL Part 5 Relation 2 tables and more
  • - HeidiSQL Tutorial 05 :- How to Import and Export database in HeidiSQL

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Jam SQL Studio
HeidiSQL
3% 3%
Database Management
97% 97%
3% 3%
Databases
97% 97%
3% 3%
MySQL Tools
97% 97%
100% 100%
MySQL GUI
0% 0%

Questions & Answers

As answered by people managing Jam SQL Studio and HeidiSQL.

What makes your product unique?

Jam SQL Studio's answer

SQL Server tools that work the same on macOS, Windows and Linux: graphical execution plans, SQL Server Agent jobs, a deadlock analyzer and Query Store, next to PostgreSQL, MySQL, Oracle, SQLite and KQL in one editor and grid. It imports saved connections from Azure Data Studio, SSMS, DBeaver, DataGrip, TablePlus and other tools, and its local MCP server lets AI agents query your databases with read-only or approval-gated access, starting with queries blocked.

Why should a person choose your product over its competitors?

Jam SQL Studio's answer

SSMS runs only on Windows, and Microsoft retired Azure Data Studio on February 28, 2026. Jam SQL Studio gives SQL Server users execution plans, Agent jobs and schema compare on a Mac or Linux machine, and covers PostgreSQL, MySQL, Oracle and SQLite with tools specific to each engine, such as the Oracle PL/SQL debugger. DBeaver and DataGrip support more database types; Jam SQL Studio supports fewer and goes deeper on each. The Personal tier is free with unlimited connections and no account; Pro is $9.99/month or $99/year per user and covers every machine you use.

How would you describe the primary audience of your product?

Jam SQL Studio's answer

SQL Server developers and DBAs on macOS or Linux, teams moving off Azure Data Studio, and developers who work with several engines, for example SQL Server in production, PostgreSQL in another service and SQLite on their own machine. Also Oracle developers who want a PL/SQL debugger outside Windows, engineers who query Azure Data Explorer, Application Insights or Log Analytics in KQL, and developers who let AI agents such as Claude Code or Cursor query a database with controlled access.

What's the story behind your product?

Jam SQL Studio's answer

Jam SQL Studio started in 2024 as a personal replacement for Azure Data Studio on macOS and became a public product in early 2026, shortly before Microsoft retired Azure Data Studio. It is built by an independent, self-funded software studio in Poland; Pro subscriptions pay for development.

Which are the primary technologies used for building your product?

Jam SQL Studio's answer

Electron, React and TypeScript, with the Monaco editor, Tailwind CSS, TanStack Query and Table, and Zustand. Database access uses the Node.js drivers for each engine (mssql, pg, mysql2, node-oracledb, better-sqlite3, azure-kusto-data and the Azure Storage SDK), plus Microsoft's SQL Tools Service and tree-sitter and ANTLR grammars for language features. The AI integration is built on the Model Context Protocol SDK.

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Jam SQL Studio no reviews yet
HeidiSQL 4.0 · 1 review

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