Datatrail
Use case

Analytics Engineering With Lineage Your Whole Team Can Read

Your dbt project knows its own DAG, but the rest of the team cannot see which dashboard a model feeds. Datatrail draws the line from raw source through every model to the report that breaks.

See how it works
Read-only Never moves your data
Lineage map
Lineage mapped from query history. Read-only connection.
0

Read-only connection. Datatrail never moves or mutates your data.

In short

Analytics engineering is the practice of building reliable, modeled data with software discipline, version control, testing, and documentation, usually in dbt. Datatrail connects to your warehouse read-only and reads your dbt models and exposures alongside the actual query logs, so every column traces from raw source through each transformation to the dashboard it powers, giving analytics engineers and the stakeholders they support one lineage map everyone can read.

// THE FIT

Why it fits

Analytics engineers and the analysts and stakeholders who depend on their models being right.

dbt models and exposures

Datatrail reads your dbt models and exposures, then confirms them against real query logs so the lineage matches what the warehouse actually runs.

Trace a number to its source

When a stakeholder asks why a figure changed, follow the column back through every model to the raw table in one click.

Readable by non-engineers

Lineage is drawn as a map an analyst or PM can follow, not a raw DAG, so impact conversations stop needing an engineer in the room.

Map your lineage, end to end

Connect your warehouse read-only and see your lineage map in minutes. Datatrail never moves or mutates your data.