Galaxy is presented as Cursor for software engineers and data practitioners, and as a modern SQL editor with features like an AI copilot, sharing and collaboration, as well as access control and security.

Galaxy’s base product is a fast SQL editor with reworked parameterization, auto-complete, and table metadata to make data discovery and analysis more reliable and convenient for developers.

Galaxy’s AI copilot is context-aware - meaning developers can write complex SQL queries accurarely, optimize queries, change queries when the underlying data model changes, and even chat directly with the database to learn about it.

Galaxy Collections - allow users within the same Workspace to create an organized view through which they can share and collaborate on queries of the same type and project. Collections also enable teams to “Endorse” queries so that a team know when a query has been endorsed as correct by the relevant stakeholders. This removes the needs for teams to share SQL queries in Slack, Notion, GSheets, etc.

Galaxy also has modern access controls and security - meaning things like permissioning and user types, run / edit history, read / write access and more are all accessible and within reach.

Down the line, Galaxy will enable teams to run lightweight visualization out of the box, run recurring workflows, and even serve as a data cataloging tool.

Galaxy is described by the seller as a best fit for technical founders, software developers, data engineers, and data scientists that like using IDEs or sql editors to write SQL (not necessarily jupyter notebooks). These individuals like trying new tools with AI in them, and want to write SQL faster and more efficiently, be on the same page about data. Galaxy is free to use in single player mode with limited AI, but there are paid plans for premium AI usage and multiplayer / sharing.

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