How to Create a Database in Lovable

To create a database in Lovable, describe the records and relationships your app needs, enable the built-in backend if necessary and ask Lovable to create the tables with appropriate access rules. Then connect the interface to real reads and writes and test that the data survives a refresh. A table alone is not a complete feature.

What you will learn and need

This tutorial builds a small private task list: one task has a title, completion status and owner. You need a Lovable project and access to its backend tools. If you are starting from scratch, Join Lovable. Use Cloud for this walkthrough; an already connected external backend should be managed through its own tools.

1. Describe your data before creating tables

Write down what one record represents. For tasks, define a unique identifier, title, completed flag, owner and creation time. For a booking app, you might need separate customers and bookings linked by an identifier rather than repeated customer details in every booking. Avoid collecting personal information you do not need.

2. Ask Lovable to propose the structure

Use Plan mode if you want to review the approach before implementation.

Plan a private task list using the current backend. Propose a tasks table with a unique ID, title, completed status, owner ID and creation timestamp. Explain the relationships and defaults. Each signed-in person must access only their own tasks. Do not change existing tables or publish real personal data.

Confirm that the model matches your actual workflow. Clarify which fields are required and what should happen when an account is deleted.

3. Create and inspect the tables

Ask Lovable to implement the agreed design. If Cloud is not enabled, review the backend enablement request. Open More → Database to inspect tables and sample records. Verify that titles are required, completion starts false and records have stable identifiers. Ask Lovable to surface write failures rather than silently falling back to demo data.

4. Connect the app to the database

Implement the task list using the agreed table. Add create, complete, edit and delete actions. Display saved tasks from the database. Include empty, saving and failure states; preserve unsaved input on failure. Enforce ownership in database policies, not only by filtering the page.

A frontend filter is useful for presentation but is not a security boundary. Review row-level security policies through More → Database → Manage → Policies and ask Lovable to correct them if necessary.

5. Verify persistence and ownership

Create two tasks with one test account and reload the page. Change a title and confirm it reads back correctly. Delete a task and verify it stays deleted after reload. In a separate session, sign in with another test account: it must not see or modify the first account’s tasks. Sign out and confirm private records remain unavailable.

Troubleshooting

The table exists but saving fails

Ask for the precise failed operation and its error. Table privileges, policies, missing required fields or a missing session may be responsible. Do not solve a permission failure by allowing everyone to write.

The app still shows example records

Ask Lovable to replace the mock-data path with the database read and to show a useful empty state when no records exist.

Should I edit production tables while learning?

Prefer sample data and a safe test environment. Before destructive changes, review the migration and a backup plan. Database exports do not automatically include uploaded storage files.

Official sources and next steps

See creating a database, access policies and backups and exports. The related guides below cover login and private data; use a live remixable project to practise the full flow.