Migrate Lovable Cloud to your own Supabase: users, data, files, and functions
Published on 2026-10-27 by frfrand
Migration from Lovable Cloud to Supabase: how to recover tables, RLS, users, storage, Edge Functions, OAuth, and secrets without data loss.
Quick answer: The visual part of an application is only half the work. If your app created with Lovable stores orders, customers, or documents, backend migration deserves a specific plan. Exporting React or TanStack to GitHub does not move table records nor guarantee that people can keep logging in.
The process documented by Lovable contemplates moving database schema, data, Row Level Security policies, functions, and triggers; it also requires handling storage, authentication, OAuth providers, secret variables, and integrated services separately. Users may need to reset their passwords when it is not possible to transfer their previous credentials. Never promise migration without downtime if you do not know the structure and volume.
What changes when you stop showing a demo
Maintaining managed Supabase can save operations; self-hosting brings control over data residency but makes you responsible for updates, backups, and availability of auth and storage. Moving only PostgreSQL does not magically recreate Auth, Realtime, or Edge Functions. Choose the degree of autonomy according to the available team.
Practical example: how it looks in a real business
Case: a class platform has 870 students, three photo buckets, and a function that confirms enrollments. In staging you migrate the schema, import tables in foreign key order, verify that the number of rows and files match, and test an enrollment with a test user. Then you update OAuth redirect URLs and payment webhooks. The useful test is that a new reservation completes the entire journey.
Concrete steps to move to production
1. List tables, relationships, triggers, RLS, accounts, buckets, functions, and secrets. 2. Export schema and data with official mechanisms; keep the original backup unchanged. 3. Create the destination backend and apply migrations with integrity tests. 4. Reconfigure Auth, OAuth, files, functions, and variables; validate policies by role. 5. Test read/write, payments, and account recovery before connecting real users.
Frequently asked questions
### Can I download all Lovable passwords? Not necessarily; plan a reset procedure for users.
Is exporting CSV enough?
No. CSV does not reproduce indexes, RLS, relationships, storage, or functions.
Can I use external Supabase without a VPS?
Yes. You can host the frontend separately and leave Supabase managed.
What should I compare before cutting traffic?
Record count, referential integrity, files, permissions, and critical flows.
What role does ArduMaker play?
ArduMaker provides infrastructure tools to host applications on VPS and prepare deployments according to each project's architecture. This does not mean that code generated by an AI is automatically correct, secure, or portable. The work consists of reviewing dependencies, validating functions, configuring services, moving data when appropriate, and checking the production deployment. The specific service for migrating and deploying applications created with AI will be presented at ardumaker.com/lovable (page coming soon). While it is being prepared, you can consult ArduMaker to learn about the current platform. Do not confuse this future landing page with an already operational migration tool.
How to use this guide without making mistakes
The correct path depends on the stack and external services. Before modifying a site with real users, keep a verifiable backup and test with staging accounts and data. Commands and configurations are indicative: compare them with the current version of the provider, the VPS distribution, and the data protection obligations that apply.
Official sources and references
- Technical documentation - Technical documentation - Technical documentation
Published in October 2026. AI platforms and their integrations change; check current requirements before contracting or migrating.
What the photograph shows
Engineer verifying the frontend and data connections. Illustrative photograph generated to accompany this guide on migrating applications created with AI; it is not a screenshot of the platform nor does it certify a specific installation.
Continue with these practical ArduMaker guides
- From Lovable to production with ArduMaker: how to have your own stable and maintainable website - Leaving Lovable without losing users: OAuth, sessions, and security when migrating - From simulated data to real PostgreSQL: completing the database of an app made with AI
If you are evaluating your own application, compare the real backend, database, authorization, and deployment requirements before choosing the server.