Transfer a Supabase database without treating data like a build artifact

Separate schema recreation from production-data migration

The safest first target is empty or schema-only. Apply migrations, extensions, functions, triggers and row-level security policies in a new project, then test the application against generated or non-production records.

Production rows introduce privacy, authorization, consistency and downtime concerns. They should move only under a separate written scope that identifies tables, exclusions, encryption, transfer method, validation and deletion responsibilities.

Auth, storage and functions need their own checks

Authentication identities are not ordinary application rows. Password hashes, social-provider links, MFA state, sessions and email behavior require supported procedures and explicit user-impact planning. Storage requires bucket policies, object inventories and integrity checks. Edge functions require code, runtime secrets and endpoint verification.

Do not assume that a database dump alone recreates the service boundary that the application expects.

Prove completeness and preserve rollback

Define counts, checksums or domain-specific reconciliation queries before transfer. Record the source cutoff time, run validation, test critical user journeys and keep the original environment unchanged until the acceptance window ends.

DNS, application environment variables and OAuth callbacks should change only when the destination is ready to receive traffic.

Frequently asked questions

Related guides

• Move from Lovable without losing the app you already built
• Move a Lovable app to Netlify with the backend kept explicit
• App portability is a maintained capability, not a one-time export