
Database Change Intelligence
Think GitHub Actions for database risk.
Database changes are risky — especially in growing teams.
A junior dev can rename/drop a column, CI passes, deployment succeeds, and production silently breaks (dashboards wrong, queries slow, billing off).
Today this is handled by:
Senior engineers manually reviewing SQL
Tribal knowledge
Post-deploy monitoring (too late)
Existing tools
Migration tools (Liquibase/Flyway) → execute changes safely
Observability tools → detect issues after prod breaks
I am trying to validate if there exists a tool which can solve this problem.
Looking for feedback and what I am doing wrong or what more can be done
About
Takes a schema snapshot Diffs proposed DB changes Calculates blast radius (tables, FKs, views, services) Blocks / warns risky changes before deploy Visualizes impact with a dependency graph

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