Skip to content

Instantly share code, notes, and snippets.

@SwarajDashDev
Created June 8, 2026 04:45
Show Gist options
  • Select an option

  • Save SwarajDashDev/b66209e37e1312083ffc12719821ed2a to your computer and use it in GitHub Desktop.

Select an option

Save SwarajDashDev/b66209e37e1312083ffc12719821ed2a to your computer and use it in GitHub Desktop.
Compare WatermelonDB and SQLite for sync‑heavy React Native apps, and see a quick setup example.

Insight

SQLite is the go‑to embedded database for many mobile apps, but its synchronous API can become a bottleneck when you need real‑time sync and complex queries. WatermelonDB, built on top of SQLite, moves heavy data processing to a background thread and offers built‑in lazy loading, making it ideal for large, sync‑heavy datasets. The trade‑off is a steeper learning curve and extra bundle size, but the UI stays buttery smooth even with thousands of records.

Example

import { Database } from '@nozbe/watermelondb';
import SQLiteAdapter from '@nozbe/watermelondb/adapters/sqlite';
import { mySchema } from './schema';
import { Task } from './models/Task';

const adapter = new SQLiteAdapter({ schema: mySchema });
export const db = new Database({
  adapter,
  modelClasses: [Task],
  actionsEnabled: true,
});

// Simple sync placeholder
await db.batch(
  db.collections.get('tasks').create(task => {
    task.title = 'Buy milk';
    task.completed = false;
  })
);

Takeaway

If your app deals with >10k rows, frequent background sync, or needs lazy loading, favor WatermelonDB. For simple CRUD or low‑volume data, SQLite’s native API remains the lighter choice.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment