THE DATA PLATFORMAGENTS CAN READ
One declared model that humans and coding agents can understand, build on, and operate together.
and go
Daana CLI is a declarative data modeling engine.
Define your business entities, relationships, and transformations in YAML. The engine handles consolidation, historization, deduplication, testing, lineage, and change tracking automatically.
No complex setup. No heavy frameworks. Just consistent, maintainable data models that run in your platform - Snowflake, BigQuery, Postgres, or any analytical database.
# Start modeling model: id: "MY_DATA_MODEL" name: "MY_DATA_MODEL" definition: "A comprehensive business data model" description: "Defines entities and relationships" entities: # ... entity definitions relationships: # ... relationship definitions
`daana-cli init` creates project structure
3-Layered
Architecture
Describe your sources, define your business concepts, and declare your metrics. Daana connects the layers and generates the pipelines.
Connected data.
Connected context.
Knowing where a field came from is only part of the picture. Daana connects the data path with definitions at every layer, so humans and agents can understand both how data moves and what it means.
TECHNICAL LINEAGE
The fields, transformations, and dependencies.
SEMANTIC LINEAGE
The connected definitions that give them meaning.
FROM SOURCE TO METRIC
Illustrative example · subscription lifecycle01 / SOURCE CONTRACT
What does this field represent?
The account's status after a change. Its contract describes the possible states, including CHURNED.
account_status_changed
new_status
Contract field · STRING · REQUIRED
02 / BUSINESS MODEL
Which concept does it describe?
The subscription's lifecycle state, recorded at the time it changed. The mapping connects the source status to this business definition.
SUBSCRIPTION
subscription_status
Mapped from new_status · effective at the source event time
03 / METRIC DEFINITION
How is the number built?
Monthly churn events: count subscription events that enter the CHURNED state, grouped by the month in which the change happened.
fact_subscription_event
Monthly churn events
Event count · grouped by event month
The source contract, business model, and metric definition together create semantic lineage. Combined with the technical connections, they explain what this number means and how it was built.
Understand a metric
Trace a number through its business definition, mapping, and source contract.
Assess a change
Follow the connections to see which business concepts and metrics depend on a source field.
Diagnose a mismatch
Compare the definitions, mappings, and run history to locate what needs correcting.
Less time reconstructing the platform.
More time building and operating it.
Need help getting there? We build alongside your engineers, from your first business model to a working data platform your team can own.
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