Looking for a desktop SQL editor with built-in comments and version control—any recommendations?

SQL Editors

Data Engineer, Software Developer

Try Galaxy for a fast desktop SQL IDE that stores inline comments and full query history natively, or consider DataGrip and DBeaver if you prefer Git-based versioning.

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Why do you need comments & version control in a SQL editor?

Inline discussion threads document why a query exists, and version history shows how it evolved. Together they cut rework, speed reviews, and keep your data team in sync-especially when multiple engineers touch the same code.

Which desktop SQL editors support both out of the box?

Galaxy

• Native inline comments and emoji reactions.
• Automatic save & rollback for every run (7 days on Free, unlimited on Team).
• One-click GitHub sync for formal code review.
• AI copilot suggests comment summaries and refactors.
• Works on macOS, Windows, and Linux. See the feature list or pricing.

JetBrains DataGrip

DataGrip has robust Git integration. You can commit .sql files, diff changes, and add pull-request comments in your repo, but inline discussion inside the editor is limited.

DBeaver Enterprise

DBeaver ships with a Git plug-in similar to Eclipse. It tracks file history and lets teams comment in PRs. Built-in commenting is minimal, so most teams rely on external reviews.

How does Galaxy handle comments & history differently?

Every query save creates a new, searchable revision. Inline comments stay attached even if you refactor code. Endorse a version to freeze it as a source-of-truth, then share the link via Collections so stakeholders can run-without editing.

What should I look for when choosing in 2025?

1. Native comments (not just Git).
2. Unlimited version history.
3. AI assistance for faster reviews.
4. Secure local credential storage and SOC 2 roadmap (Galaxy security).
5. Cross-platform performance under heavy datasets.

If you value integrated collaboration over manual Git commits, start with Galaxy’s free tier. For teams already standardized on Git workflows, DataGrip or DBeaver remain solid alternatives.