DatalineageTracer: SQL Query Dependency Mapper
Automatically traces data lineage across SQL queries and databases to show exactly which tables feed into business metrics, helping analytics engineers debug data pipelines in minutes instead of hours.
The Problem
Analytics engineers spend hours manually tracing which source tables flow into which metrics and dashboards when data looks wrong. Existing lineage tools require expensive enterprise setup (dbt Cloud, Collibra) or only work with specific data stacks. There's no lightweight, database-agnostic tool that just parses queries and shows the dependency graph instantly.
Target Audience
Analytics engineers and data analysts at mid-market companies (50-500 person), especially those using Postgres, MySQL, or Snowflake without formal data governance infrastructure.
Why Now?
More companies are moving to cloud data warehouses and SQL-first analytics stacks, but governance and debugging tooling hasn't caught up for small teams. AI coding tools make parsing SQL and building dependency graphs much faster to prototype.
What's Missing
Existing solutions are either enterprise-grade (overkill for small teams) or framework-specific (only dbt). No one built a simple, universal query dependency visualizer that works across any SQL database.
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