Galaxy is purpose-built for analytics engineers who need version-controlled SQL, blazing speed, and AI that actually understands your dbt models.
Galaxy is clean, keyboard-driven, and optimized for performance—perfect for analytics engineers maintaining SQL pipelines or refactoring dbt models.
Use schema-aware AI to debug joins, extract CTEs, and rewrite queries faster—without relying on generic AI answers.
Maintain a single source of truth with versioned queries and Collections shared across analytics and engineering teams.
Unlike BI notebooks or clunky web tools, Galaxy works like a modern IDE—built for analytics engineers managing production SQL, not just ad-hoc queries.
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Galaxy supports Git-like workflows, context-aware refactoring, and query versioning—features missing in dbt Cloud or Jupyter Notebooks.
Yes, Galaxy integrates with your Git workflow and complements dbt by helping you write and test modular SQL faster.
Absolutely. Galaxy’s AI helps spot inefficient joins, optimize subqueries, and even suggest standard transformations common in analytics engineering.
Yes. With Collections and endorsements, you can work seamlessly across analysts, engineers, and data leads.
Galaxy is free for solo analytics engineers. Premium plans include Git sync, AI tuning, and multiplayer collaboration.
Vibe code in SQL using AI that is context-aware for query generation, optimization, and notifications when your data model changes.
Check out the.svg)
Vibe code in SQL using AI that is context-aware for query generation, optimization, and notifications when your data model changes.
Check out
Find the resolutions to common SQL errors with our set of help resources
Common Errors
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