Detect & normalize schema drift between migrations and datamodel

Detect & normalize schema drift between migrations and datamodel targets a $3.0B = 200,000 mid-market & enterprise development orgs x $15K ACV total addressable market with medium saturation and a year-over-year growth rate of 25%+ (developer tooling & DB DevOps growth).

Key trends driving demand: ORM adoption -- more teams use Prisma and other modern ORMs, increasing need for deterministic migration tooling.; Shift-left DB ops -- teams embed migration checks into CI/CD to avoid production drift and outages.; Multi-dialect complexity -- cloud DB heterogeneity (MySQL, Postgres, MariaDB, cloud JSON types) increases subtle diffs.; AI-assisted code/DDL generation -- programmatic schema synthesis and normalization lowers manual effort to create safe migration patches..