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Galaxy is the data and AI infrastructure for modern organizations. It sits above your existing data systems and captures what your organization knows about itself: what entities exist, how they relate, what they mean, and how those meanings map back to real systems. Galaxy turns fragmented databases, tools, and pipelines into a shared, navigable context graph. Galaxy isn’t just another analytics tool, data warehouse, or metadata catalog. It’s the foundation that brings coherence to your entire data ecosystem.

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The Problem Galaxy Solves

Every growing organization eventually hits the same wall:
Data is everywhere, but understanding is nowhere.
Modern organizations are not struggling because they lack data. They are struggling because they lack shared understanding. Over the last decade, companies invested heavily in data warehouses, ETL tools, BI dashboards, metrics layers, reverse ETL, and AI systems. This produced an abundance of data and tooling, but it also produced fragmentation as each system evolves its own partial truth. Teams spend time reconciling definitions, resolving discrepancies, and translating business logic instead of building insights. Galaxy solves this by providing a semantic foundation.

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What Galaxy Is (and Isn’t)

Galaxy is:

  • The semantic layer your stack is missing
  • A context graph of entities and relationships
  • A bridge between systems and business logic
  • A foundation for consistent analytics, AI reasoning, governance, and collaboration

Galaxy is not:

  • A BI dashboard tool
  • A data warehouse or storage engine
  • Just a metadata catalog

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Start Here

If you’re ready to get hands-on, follow the Quickstart Guide. It walks you through connecting your first data source and building your first project.