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The Complete SaaS Migration Checklist: Moving to Supabase in 2025

BI
Bilal Nazam
April 5, 20257 min read

Use This Checklist to Migrate Without Surprises

Based on dozens of production migrations, here is every step you need to complete a safe, zero-surprise Supabase migration. Print it, share it with your team, and check items off methodically.

Phase 1: Pre-Migration Audit

  • ☐ Document all database tables with row counts
  • ☐ List all foreign key relationships
  • ☐ Identify all database indexes
  • ☐ Document all database functions and triggers
  • ☐ List all auth providers (social logins, magic links, OTP)
  • ☐ Inventory all storage buckets and their access patterns
  • ☐ List all third-party services connected to the backend
  • ☐ Identify all real-time features in the app

Phase 2: Supabase Setup

  • ☐ Create new Supabase project (or self-hosted instance)
  • ☐ Configure environment variables in a staging environment
  • ☐ Enable required Postgres extensions (uuid-ossp, pgcrypto, etc.)
  • ☐ Set up custom SMTP for auth emails
  • ☐ Configure auth redirect URLs
  • ☐ Set up Storage buckets matching current structure

Phase 3: Database Migration

  • ☐ Export schema from source database
  • ☐ Clean schema of platform-specific syntax
  • ☐ Import schema to Supabase
  • ☐ Verify all tables created correctly
  • ☐ Export all data (consider chunking large tables)
  • ☐ Import data in correct dependency order
  • ☐ Validate row counts match source
  • ☐ Validate foreign key integrity
  • ☐ Re-create all indexes

Phase 4: Auth Migration

  • ☐ Export user accounts from source
  • ☐ Import users via Supabase Admin API (preserve UUIDs)
  • ☐ Verify user IDs match FK references in other tables
  • ☐ Test email/password auth flow
  • ☐ Test social auth providers (Google, GitHub, etc.)
  • ☐ Configure and test magic link flow
  • ☐ Verify email templates match your brand

Phase 5: Security Configuration

  • ☐ Enable RLS on every table
  • ☐ Write and test SELECT policies
  • ☐ Write and test INSERT/UPDATE/DELETE policies
  • ☐ Configure Storage bucket policies
  • ☐ Test as anon role (unauthenticated)
  • ☐ Test as authenticated role
  • ☐ Verify service role key is server-side only

Phase 6: Application Code Update

  • ☐ Install @supabase/supabase-js
  • ☐ Update all data query calls to Supabase client
  • ☐ Update auth flows (login, logout, signup, session)
  • ☐ Update storage upload/download calls
  • ☐ Update real-time subscriptions
  • ☐ Generate and integrate TypeScript types

Phase 7: Testing

  • ☐ Test all CRUD operations via API
  • ☐ Test auth flows end-to-end
  • ☐ Test file upload and retrieval
  • ☐ Test real-time features
  • ☐ Run performance benchmarks on key queries
  • ☐ Test with production data volume (if possible)

Phase 8: Production Cutover

  • ☐ Run final incremental data sync
  • ☐ Schedule maintenance window
  • ☐ Update production environment variables
  • ☐ Deploy updated application
  • ☐ Run smoke tests in production
  • ☐ Monitor error rates for 48 hours
  • ☐ Keep old backend live for 72 hours before decommissioning

Want this checklist executed for you? Our team handles end-to-end migrations from Lovable Cloud to Supabase with a guaranteed zero-data-loss process.

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Frequently Asked Questions

How long does a full SaaS migration to Supabase take?

Small MVPs: 1–3 days. Medium production apps: 3–7 days. Large enterprise apps with complex requirements: 2–4 weeks. Most of the time is spent on testing and validation, not the actual migration.

Can I do a partial migration (some features on Supabase, some still on old backend)?

Yes. This is a valid incremental approach. Start by migrating the database and accessing it from Supabase while keeping your old auth or storage temporarily. Then migrate those progressively.

What if something goes wrong during production cutover?

Always keep your old backend live and have a documented rollback plan. If something breaks, update environment variables back to the old backend. The actual cutover should take under 5 minutes — not enough time for significant data divergence.

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