Feature Store For Reusable Ml Features

via “declarative feature definition with infrastructure-as-code pattern”

Virtual feature store on existing data infrastructure.

Unique: Uses Terraform-inspired declarative syntax for feature definitions rather than imperative scripts, enabling infrastructure-as-code patterns for ML features with automatic versioning and lineage tracking built into the language design itself

vs others: Simpler than writing custom feature pipelines in Spark/SQL and more standardized than ad-hoc Python scripts, but requires learning a new DSL unlike Feast which uses YAML