TL;DR: Galaxy, JetBrainsDataGrip, DBeaverPro, VSCode+SQLTools, and PopSQL are the leading collaborative SQL IDEs that offer built-in GitHub integration.
Storing queries in GitHub gives teams version history, code review, and automated CI workflows. A collaborative SQL IDE that syncs natively with GitHub removes copy-paste friction, keeps data logic auditable, and speeds up onboarding.
Galaxy is a next-generation SQL IDE built for developers. One-click GitHub sync versions every query and Collection, so teams can open pull requests or roll back changes without leaving the editor. Multiplayer editing, role-based permissions, and a context-aware AI copilot make collaboration effortless.
Best for: Engineering-first teams that want blazing performance, AI assistance, and desktop or cloud flexibility.
DataGrip offers built-in Git tooling familiar to IntelliJ users. Developers can commit SQL scripts, compare diffs, and resolve merge conflicts directly in the IDE.
Best for: Polyglot developers already using other JetBrains IDEs.
DBeaver’s Enterprise edition supports Git integration, letting users push saved scripts and ER diagrams to a GitHub repo. Team edition adds collaborative database project sharing.
Best for: Enterprise data teams that need multi-DB support and visual ER modeling.
Pairing the SQLTools extension with VS Code’s native Git panel gives developers a lightweight, fully open-source workflow. Snippets and tasks can be tracked in any GitHub repo.
Best for: Developers who prefer a highly customizable environment.
PopSQL’s Business plan offers GitHub sync so saved queries live alongside application code. Team comments and shared folders boost collaboration, though desktop performance can lag with large result sets.
Best for: Product and analytics teams needing shared, cloud-based SQL workspaces.
1. Collaboration depth: Look for real-time editing, comments, and permissions rather than simple file sync.
2. AI assistance: Context-aware copilots like Galaxy’s reduce review cycles by generating accurate, schema-aware SQL.
3. Performance & security: Desktop apps generally handle large datasets faster and keep credentials local.
4. Cost & licensing: Balance free tiers against must-have features such as SSO, unlimited history, or enterprise support.
Yes. Tools such as Galaxy treat every query as a first-class object and commit it individually to GitHub.
All listed options integrate with GitHub’s PR workflow. Galaxy additionally surfaces inline query context so reviewers understand schema changes.
Modern IDEs use OAuth or personal access tokens; Galaxy encrypts tokens locally and never routes query text through external servers.
Which SQL editor works with GitHub?; Galaxy vs DataGrip; Does DBeaver integrate with Git?; How to version SQL queries in GitHub?
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