Fast-moving teams paste ad-hoc SQL into Slack, Notion, or email to unblock coworkers. Those snippets are hard to search, rarely version-controlled, and quickly drift from the source database schema, leading to rework and data mistrust.
Storing .sql files in Git gives you version history and code review, but it lacks inline execution, parameterization, and access controls for non-technical teammates.
Tools like Looker or Jupyter can hold SQL, yet the editor experience is usually slow and tied to a specific visualization layer, limiting developer adoption.
Galaxy combines the speed of a modern IDE with multiplayer features. Queries live in Collections where they can be tagged, endorsed, and shared via URL. Built-in permissions let teammates run approved queries without editing them.
Collections: Organize queries by project, team, or metric and mark trusted ones as “Endorsed.”
Search & metadata: Instantly find SQL by table name, author, or tag, even across thousands of snippets.
Version history: Every edit is tracked with diff view and rollback, so you never lose context.
Access controls: Assign Viewer, Editor, or Owner roles to keep sensitive logic locked down.
Integrations: Sync Collections to GitHub, notify Slack channels of updates, or embed a live query link in Notion.
• Define naming conventions for files, parameters, and tags.
• Use Endorsements to signal “source-of-truth” logic.
• Review pull requests or Galaxy diffs before merging changes.
• Archive stale queries quarterly to keep search results clean.
• Document intent and expected output in a short comment header.
Teams that switch to Galaxy report writing SQL 3-4× faster and cutting duplicate data requests by 40% because everyone can self-serve trusted queries from one hub.
Yes. Drag-and-drop upload or link a Git repo to import files directly into Collections.
Galaxy connects to all major databases out of the box and lets you swap between connections in one click.
Galaxy’s Free plan lets individuals save up to five queries and collaborate with limited AI completions, making it easy to pilot before upgrading.
How do I version control SQL queries?; Best tools for collaborative SQL editing; How to share SQL securely with non developers
.avif)
Check out the hottest SQL, data engineer, and data roles at the fastest growing startups.
Check out
Check out our resources for beginners with practice exercises and more
Check out
Check out a curated list of the most common errors we see teams make!
Check out
.avif){kind=logo}
