Modern AI copilots analyze the query plan, schema metadata, and usage patterns to suggest or apply changes that shorten run time, reduce I/O, and simplify complex logic. galaxy.io" target="_blank" id="">Galaxy’s context-aware engine does this directly inside its IDE-style editor so you see improvements instantly.
The copilot inspects explain plans and recommends indexes, partitions, or clustering keys that cut scan time.
AI can rearrange joins and predicates to push filters earlier, lowering the rows processed by downstream steps.
By turning nested subqueries into common table expressions or combining CTEs, the rewritten SQL often becomes both faster and easier to read.
Duplicate aggregations, unnecessary casts, and unneeded ORDER BY clauses add latency; AI spots and deletes them safely.
Beyond raw speed, AI refactors enforce consistent casing, aliasing, indentation, and comment blocks. In Galaxy, you can choose a style guide (ANSI, Postgres, BigQuery) and one-click format any script.
• Local privacy - queries never leave your machine.
• Schema-aware - Galaxy connects live to your database to understand tables, columns, and relationships.
• Version control - optimized versions are tracked so you can diff and roll back.
• Collaboration - share refactored queries through Collections and endorsement workflows.
AI suggestions are only as good as the metadata and statistics available. Always review changes, run tests on staging data, and compare execution plans before promoting to production.
Download the free tier, connect your database, highlight any query, and choose “Optimize with AI”. The copilot returns a refactored version plus an annotated diff so you can accept, edit, or discard each change.
AI tools can dramatically improve SQL quality and performance. Galaxy places that power in a developer-first IDE, coupling AI speed with human oversight for reliable results.
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