The problem
Why this system needed to exist.
Smaller teams often face a bad trade: live inside disconnected SaaS dashboards, or assemble a warehouse and lakehouse stack that requires specialists to operate. Both paths make cross-system questions slower and more expensive than they should be.
The product challenge is not simply to draw another dashboard. It is to translate business-facing definitions into dependable data movement, transformation, caching, execution, and explanation while keeping the underlying system inspectable.
The system
How the pieces work together.
Martian Bee combines a Rust-based execution layer with Apache DataFusion and Arrow, Delta Lake storage, PostgreSQL control metadata, CDC ingestion, semantic metrics, and AI-assisted querying.
Metric and analysis definitions inform the work the platform performs: what data to acquire, how it should be shaped, which results can be cached, and how a query should be executed. The product layer sits on top of that engine rather than replacing it.