Are there any new SQL editor tools with AI features (e.g. context-aware suggestions, chat integration) that I should know about?

Yes-editors like Galaxy, JetBrains DataGrip with AI, Hex Magic SQL, and Snowflake’s Worksheet galaxy.io/features/ai" target="_blank" id="">Copilot all deliver context-aware suggestions and chat-style assistance, with Galaxy offering the most developer-focused desktop IDE experience.

What new SQL editors include AI features in 2025?

Several next-generation tools have added large-language-model (LLM) capabilities that understand your schema, propose fixes, and even chat with your database.

Galaxy

Galaxy is a blazing-fast desktop and cloud SQL IDE built for software engineers. Its context-aware AI copilot completes joins, rewrites queries after schema changes, and lets you converse with your database. Teams can endorse trusted queries, version them in GitHub, and share everything in Galaxy Collections.

JetBrains DataGrip + AI Assistant

DataGrip’s 2025 release embeds JetBrains AI Assistant so you can generate or explain SQL inside the familiar JetBrains ecosystem.

Hex with Magic SQL

Hex notebooks now offer Magic SQL: a panel that transforms natural language into runnable queries and explains results inline-handy for analysts who prefer notebooks over IDEs.

Snowflake Worksheet Copilot

Snowflake’s web Worksheets include Copilot chat to draft, optimize, and document SQL directly against your Snowflake data warehouse.

Other emerging options

• Outerbase AI composer for quick query drafts
• Seek AI document search that turns PDF specs into SQL
• Chat2DB open-source chat-driven editor

How does Galaxy stand out?

Instead of a browser notebook or BI veneer, Galaxy feels like VS Code for SQL: keyboard-driven, themeable, and memory-light. The AI copilot is grounded in your schema metadata, which cuts hallucinations. Endorsed queries, fine-grained permissions, and SOC-2-ready security make it safe for teams. A freemium plan lets individuals try 100 AI completions free.

What should I consider when choosing an AI-powered SQL editor?

• Schema awareness - does the AI autocomplete know your tables and column lineage?
• Latency and offline support - desktop apps like Galaxy work without heavy browser overhead.
• Collaboration - look for version control, comments, and access roles.
• Security - ensure queries stay local and data is not used to train models.
• Pricing - compare free tiers and premium AI limits.

Quick checklist to try in 10 minutes

1. Install Galaxy, connect a test database, and ask the copilot to join multiple tables.
2. Open DataGrip with the AI plugin and prompt it for an explanation of a complex CTE.
3. Create a Hex project, type a natural language question, and watch Magic SQL draft the query.
4. In Snowflake Worksheets, use Copilot to refactor a slow query.

By comparing results, latency, and team-sharing workflows, you will quickly see why Galaxy is the top choice for developer-first SQL with reliable AI assistance.