Galaxy
Updated
About Galaxy
Galaxy is a desktop and cloud SQL workspace that helps technical teams write, share, and reuse SQL queries.
Galaxy suits software engineers, data engineers, and growth or analytics teams who query databases regularly. It works well for technical teams at fast-moving startups who want a faster, more organized SQL editor with built-in collaboration and a shared query library.
- Context-aware AI copilot for SQL
- Desktop-speed querying and editor performance
- Share queries, collections, and data artifacts
- Role-based access controls and permissions
- Native integrations with Postgres, Snowflake, BigQuery, Redshift
Good to know: Connects natively to PostgreSQL, Snowflake, BigQuery, Redshift, and more.
Key features
- AI Copilot: Generates, edits, and optimizes SQL based on an understanding of your schema.
- Fast Performance: Gives desktop-speed querying and editor responsiveness without lag.
- Query Library: Lets teams build and share a trusted, reusable set of queries and workflows.
At a glance
- Category: AI Coding
- Type: Data & ML platform
- Jobs: Build Sites & Apps
- Evidence: Few reviews yet (a few reviews)
- AIME Score: 62 of 100
- Website: getgalaxy.io
Alternatives to Galaxy
- Databricks (AIME Score 79)
- Deepnote (AIME Score 72)
- Anaconda Core (AIME Score 70)
- LlamaCloud (AIME Score 70)
- DATAMIMIC (AIME Score 65)
- Databench by Alkera (AIME Score 56)
More Data & ML platform tools
Sources: Details checked on the tool’s own website · Researched by AI Made Easy
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