DatalineageMap: Warehouse Column Lineage Visualizer
Automatically maps data transformations across dbt/SQL pipelines to show which source columns feed into which dashboards, helping analytics engineers debug broken dashboards in minutes instead of hours.
The Problem
When a dashboard breaks or shows wrong data, analytics engineers spend hours manually tracing through dozens of SQL files and dbt models to find which upstream column changed or broke. There's no easy visual way to see the dependency chain from raw data source to final metric.
Target Audience
Analytics engineers and data teams at mid-market companies (50-500 people) running dbt + data warehouses like Snowflake, BigQuery, or Redshift who maintain 50+ interconnected models.
Why Now?
dbt adoption has exploded in the last 3 years, creating thousands of complex interconnected pipelines; most companies still use dbt Cloud's basic lineage or crude Slack messages when dashboards break.
What's Missing
Existing solutions (dbt lineage, Dataedo) show the graph but don't help you quickly diagnose *which specific transformation broke your metric*; they're reference tools, not incident-response tools.
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