DataLineageMapper: SQL Query Dependency Tracer
Automatically maps which databases, tables, and columns feed into your dashboards and reports so data teams know exactly what breaks when a schema changes.
The Problem
Data teams constantly face surprise breakages when source tables are renamed, columns are dropped, or ETL pipelines shift — but they have no centralized way to trace data lineage backwards from a dashboard to the raw tables it depends on. Current solutions (dbt, Dataedo) are either developer-focused, require heavy configuration, or are enterprise-only expensive.
Target Audience
Data analysts and BI teams at mid-market companies (50-500 employees) using tools like Tableau, Looker, or Power BI who don't have dedicated data engineering teams to maintain lineage documentation.
Why Now?
Analytics infrastructure is fracturing — companies are mixing Snowflake, BigQuery, Postgres, and cloud data warehouses faster than ever. Manual lineage tracking has become impossible, and AI-powered schema parsing makes automated lineage extraction finally feasible.
What's Missing
Existing tools either require SQL expertise to configure (dbt) or cost $30K+ upfront (Collibra, Alation). No product targets the scrappy mid-market analyst who just needs to know 'what breaks if I rename this column?'
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