Column-Level Lineage

Understand how your data flows
across your tools.

One global data lineage graph.

1

Follow the data across your stack.

Alkera’s lineage engine traces data dependencies within and between your tools, down to the column. Follow a field from Fivetran ingestion into Snowflake, through dbt transformations, and onto a dashboard chart.

Stagingtotal_amountdbtMartrevenuedbtDashboardrevenuehex
2

Assess changes before making them.

Before making a change, an agent follows the lineage graph to every downstream table, model, and dashboard it touches, and flags anything that would break.

total_amountNarrow typefct_ordersrevenueBreaking
3

Review a proposal with the context attached.

When a change could have unintended effects downstream, the agent pauses and asks for approval, listing every affected asset.

I checked the downstream dependencies. fct_orders.customer_id reads staging.customer_id, so removing it would break fct_orders.

Allow the agent to remove this column?

Dropping customer_id breaks fct_orders.

See your data flow in context.