Daana provides a CLI‑driven, declarative data modeling engine that lets data teams define business entities, relationships, and transformations in YAML.
Funding
Funding not disclosed
Founders
Product
Problem
Building a well‑architected data platform typically requires extensive coding, complex frameworks, and months of effort to define entities, relationships, and data transformations, leading to slow delivery and high maintenance overhead.
Solution
Daana offers a declarative data modeling engine accessed via a CLI that lets users define business entities, relationships, and transformation logic in YAML. The engine automatically handles data consolidation, historization, deduplication, testing, lineage, and change tracking, producing ready‑to‑run data pipelines without writing code. Its three‑layered architecture ensures scalability and maintainability, and the generated models can be executed on any analytical database such as Snowflake, BigQuery, or Postgres. By automating the heavy lifting, Daana enables organizations to deliver a functional data platform in weeks rather than months, while preserving flexibility for future growth.
Target Audience
Primary customers are data engineering and analytics teams in mid‑size to large enterprises that need to build or modernize data platforms quickly and maintainable, as well as consulting firms delivering data solutions for their clients.
Features
- YAML‑based declarative modeling of entities, relationships, and transformations
- CLI automation of consolidation, historization, deduplication, testing, lineage, and change tracking
- Three‑layered architecture that separates modeling, execution, and governance for scalability
- Compatibility with major analytical databases (Snowflake, BigQuery, Postgres, etc.) without heavy frameworks
- Rapid first working iteration in weeks, with built‑in mechanisms for continuous evolution
- Optional AI assistance to accelerate model creation and validation