Ember

A prescriptive data catalog for scalable platforms

Ember defines how data should be shaped, validated, and interpreted across the platform so logic stays consistent as pipeline complexity scales.

Ember is DataForge’s data catalog. It defines how data should be shaped, validated, and interpreted across the platform rather than simply documenting what already exists.

Unlike traditional catalogs that observe data after the fact, Ember is prescriptive by design. It captures intent as declarative logic and applies it consistently across pipelines so meaning does not fragment as the platform grows.

At its core, Ember combines a structured knowledge model with reusable logic. This allows organizations to define data meaning once and apply it everywhere without duplicating transformations or embedding business rules directly into pipelines.