Use Galaxy’s built-in version control and “Endorse” workflow to auto-track every SQL change, diff revisions, and approve production-ready scripts in one place.
SQL lives in emails, BI folders, Git repos, and chat threads, so teams lose context and overwrite each other’s work. Git is great for code, but analysts often skip the command line, leaving critical business logic un-versioned and unaudited.
Reliable diffs, but non-technical users avoid it, PR reviews lag, and ad-hoc snippets never land in the repo.
Some dashboards store revisions, yet they ignore standalone SQL files and lack formal approvals.
Manual copy-paste versions are error-prone and impossible to audit.
The Galaxy SQL Editor automatically saves every edit as a new version with timestamps, authorship, and diff views-no Git commands needed.
Galaxy Collections group related queries. Teammates can click “Endorse” to mark a specific version as the approved source of truth, triggering notifications and locking it for downstream use.
Need enterprise controls? Sync Collections to GitHub to satisfy SOX or SOC-2 audit trails while keeping the workflow inside Galaxy.
1. Write or paste your query in Galaxy.
2. Save it to a Collection.
3. Invite reviewers with Viewer or Editor roles.
4. Reviewer inspects the diff and hits “Endorse” or requests changes.
5. Approved versions feed dashboards, APIs, or jobs without extra config.
Yes. Enable GitHub sync to mirror every approved version as a commit. Developers keep their familiar PR pipeline while analysts enjoy a no-CLI interface.
Galaxy stores credentials locally, encrypts data in transit, and logs every action. Enterprise plans offer unlimited history, SSO, and granular audit reports.
Download the desktop app, connect your database, and try the Free tier-seven days of version history is included. Upgrade anytime on the pricing page for unlimited history and multiplayer controls.
Stop juggling scripts; let Galaxy handle versioning and approvals so you can ship trusted SQL faster.
How do I track SQL query changes?; Best tool for approving SQL changes; Version control for data scripts; How to audit SQL edits
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