WatermelonDB is a revolutionary reactive database framework that enables React Native apps to scale from hundreds to tens of thousands of records while maintaining lightning-fast performance. This comprehensive guide covers everything from setup to advanced optimization techniques.
1. What is WatermelonDB and Why You Need It
WatermelonDB is a next-generation reactive database framework built specifically for React and React Native applications. Unlike traditional solutions like Redux with persistence or AsyncStorage, WatermelonDB is designed to handle complex applications with thousands of records without sacrificing performance.
- β‘ Instant Launch: Lazy loading means your app starts fast regardless of data size
- π Scalable: Handles tens of thousands of records efficiently
- π Reactive: UI automatically updates when data changes
- π Offline-first: Built-in sync capabilities for offline support
- π― SQLite Foundation: Rock-solid database engine underneath
- π± Multi-platform: iOS, Android, Web, Windows, macOS support
When to Choose WatermelonDB
WatermelonDB is perfect for:
- Complex apps with large datasets: E-commerce, social media, productivity apps
- Offline-capable applications: Note-taking, CRM, inventory management
- Real-time collaborative apps: Chat applications, project management tools
- Performance-critical apps: When app launch speed is crucial
2. Installation and Project Setup
Step 1: Install WatermelonDB
First, install WatermelonDB and its required dependencies:
# Install WatermelonDB
npm install @nozbe/watermelondb
# Install Babel plugin for decorators
npm install --save-dev @babel/plugin-proposal-decorators
# For iOS projects
cd ios && npx pod-install
Step 2: Configure Babel
Add decorator support to your .babelrc
or babel.config.js
:
// babel.config.js
module.exports = {
presets: ['module:metro-react-native-babel-preset'],
plugins: [
['@babel/plugin-proposal-decorators', { legacy: true }]
]
};
Step 3: iOS Configuration (React Native 0.60+)
For iOS, update your Podfile
:
# Add to your Podfile
pod 'WatermelonDB', path: '../node_modules/@nozbe/watermelondb'
pod 'React-jsi', path: '../node_modules/react-native/ReactCommon/jsi', modular_headers: true
pod 'simdjson', path: '../node_modules/@nozbe/simdjson', modular_headers: true
Then run npx pod-install
to install the native dependencies.
3. Defining Your Database Schema
WatermelonDB uses a schema-first approach. You define your database structure using schemas, which are then used to generate the underlying SQLite tables.
Creating a Basic Schema
Create a model/schema.js
file:
// model/schema.js
import { appSchema, tableSchema } from '@nozbe/watermelondb'
export const mySchema = appSchema({
version: 1,
tables: [
tableSchema({
name: 'posts',
columns: [
{ name: 'title', type: 'string' },
{ name: 'body', type: 'string' },
{ name: 'is_pinned', type: 'boolean' },
{ name: 'created_at', type: 'number' },
{ name: 'updated_at', type: 'number' }
]
}),
tableSchema({
name: 'comments',
columns: [
{ name: 'body', type: 'string' },
{ name: 'post_id', type: 'string', isIndexed: true },
{ name: 'author_name', type: 'string' },
{ name: 'created_at', type: 'number' },
{ name: 'updated_at', type: 'number' }
]
}),
tableSchema({
name: 'users',
columns: [
{ name: 'name', type: 'string' },
{ name: 'email', type: 'string', isIndexed: true },
{ name: 'avatar_url', type: 'string', isOptional: true },
{ name: 'is_verified', type: 'boolean' },
{ name: 'last_seen_at', type: 'number', isOptional: true },
{ name: 'created_at', type: 'number' },
{ name: 'updated_at', type: 'number' }
]
})
]
})
- Table names: plural, snake_case (e.g.,
blog_posts
) - Column names: snake_case (e.g.,
created_at
) - Relation columns: end with
_id
(e.g.,post_id
) - Boolean columns: start with
is_
(e.g.,is_verified
) - Date columns: end with
_at
(e.g.,updated_at
)
Column Types and Indexing
WatermelonDB supports three column types:
// Column types example
{
// String columns (default: '')
{ name: 'title', type: 'string' },
{ name: 'description', type: 'string', isOptional: true }, // Can be null
// Number columns (default: 0) - used for integers, floats, timestamps
{ name: 'price', type: 'number' },
{ name: 'created_at', type: 'number' },
// Boolean columns (default: false)
{ name: 'is_featured', type: 'boolean' },
// Indexed columns for faster queries
{ name: 'category_id', type: 'string', isIndexed: true },
{ name: 'email', type: 'string', isIndexed: true }
}
- Index columns you frequently query by (especially
_id
fields) - Index boolean fields if you often filter by them
- Avoid indexing long text fields or rarely queried columns
- Remember: indexes speed up queries but slow down writes
4. Creating Models
Models are JavaScript classes that represent your data entities. They define the structure, relationships, and behavior of your data.
Basic Model Definition
Create model files for each table:
// model/Post.js
import { Model } from '@nozbe/watermelondb'
import { field, date, children, readonly } from '@nozbe/watermelondb/decorators'
export default class Post extends Model {
static table = 'posts'
@field('title') title
@field('body') body
@field('is_pinned') isPinned
@date('created_at') createdAt
@date('updated_at') updatedAt
// Relationship: a post has many comments
@children('comments') comments
}
// model/Comment.js
import { Model } from '@nozbe/watermelondb'
import { field, date, relation } from '@nozbe/watermelondb/decorators'
export default class Comment extends Model {
static table = 'comments'
@field('body') body
@field('author_name') authorName
@date('created_at') createdAt
@date('updated_at') updatedAt
// Relationship: a comment belongs to a post
@relation('posts', 'post_id') post
}
// model/User.js
import { Model } from '@nozbe/watermelondb'
import { field, date } from '@nozbe/watermelondb/decorators'
export default class User extends Model {
static table = 'users'
@field('name') name
@field('email') email
@field('avatar_url') avatarUrl
@field('is_verified') isVerified
@date('last_seen_at') lastSeenAt
@date('created_at') createdAt
@date('updated_at') updatedAt
}
Advanced Model Features
Add computed properties and custom methods to your models:
// Enhanced Post model
import { Model, Q } from '@nozbe/watermelondb'
import { field, date, children, lazy } from '@nozbe/watermelondb/decorators'
export default class Post extends Model {
static table = 'posts'
@field('title') title
@field('body') body
@field('is_pinned') isPinned
@date('created_at') createdAt
@date('updated_at') updatedAt
@children('comments') comments
// Computed property
get excerpt() {
return this.body.substring(0, 100) + '...'
}
// Lazy associations - loaded only when accessed
@lazy recentComments = this.collections
.get('comments')
.query(
Q.where('post_id', this.id),
Q.sortBy('created_at', Q.desc),
Q.take(5)
)
// Custom methods
async addComment(body, authorName) {
return await this.collections.get('comments').create(comment => {
comment.body = body
comment.authorName = authorName
comment.post.set(this)
})
}
async togglePin() {
return await this.update(post => {
post.isPinned = !post.isPinned
})
}
}
5. Database Initialization
Setting Up the Database
Create a database instance and configure your app:
// database/index.js
import { Database } from '@nozbe/watermelondb'
import SQLiteAdapter from '@nozbe/watermelondb/adapters/sqlite'
import { mySchema } from '../model/schema'
import Post from '../model/Post'
import Comment from '../model/Comment'
import User from '../model/User'
// Create adapter
const adapter = new SQLiteAdapter({
schema: mySchema,
// (You might want to comment it out for production)
onSetUpError: error => {
console.error('Database setup error:', error)
}
})
// Create database
export const database = new Database({
adapter,
modelClasses: [
Post,
Comment,
User,
],
})
export default database
Integrating with Your App
Provide the database to your React Native app:
// App.js
import React from 'react'
import { DatabaseProvider } from '@nozbe/watermelondb/DatabaseProvider'
import database from './database'
import MainNavigator from './navigation/MainNavigator'
export default function App() {
return (
<DatabaseProvider database={database}>
<MainNavigator />
</DatabaseProvider>
)
}
6. Reactive Components with withObservables
The magic of WatermelonDB lies in its reactive nature. Components automatically re-render when underlying data changes, thanks to the withObservables
higher-order component.
Basic Reactive Component
// components/PostList.js
import React from 'react'
import { FlatList } from 'react-native'
import { withDatabase } from '@nozbe/watermelondb/DatabaseProvider'
import { withObservables } from '@nozbe/watermelondb/react'
import { Q } from '@nozbe/watermelondb'
import PostItem from './PostItem'
function PostList(props) {
const { posts } = props
const renderPost = ({ item }) => (
<PostItem key={item.id} post={item} />
)
return (
<FlatList
data={posts}
renderItem={renderPost}
keyExtractor={item => item.id}
/>
)
}
// Make component reactive to database changes
const enhance = withObservables([], ({ database }) => ({
posts: database.collections.get('posts').query(
Q.sortBy('created_at', Q.desc)
)
}))
export default withDatabase(enhance(PostList))
Component with Parameters
// components/PostDetail.js
import React from 'react'
import { View, Text, FlatList } from 'react-native'
import { withObservables } from '@nozbe/watermelondb/react'
function PostDetail(props) {
const { post, comments } = props
return (
<View>
<Text style={{ fontSize: 24, fontWeight: 'bold' }}>
{post.title}
</Text>
<Text>{post.body}</Text>
<Text style={{ fontSize: 18, marginTop: 20 }}>
Comments ({comments.length})
</Text>
<FlatList
data={comments}
renderItem={({ item }) => (
<View style={{ padding: 10, borderBottomWidth: 1 }}>
<Text>{item.body}</Text>
<Text style={{ color: 'gray' }}>β {item.authorName}</Text>
</View>
)}
keyExtractor={item => item.id}
/>
</View>
)
}
// Reactive component that depends on the post prop
const enhance = withObservables(['post'], ({ post }) => ({
post, // The post itself is observable
comments: post.comments // Related comments are also observed
}))
export default enhance(PostDetail)
Using Hooks with useDatabase
For simpler cases, you can use hooks:
// components/CreatePost.js
import React, { useState } from 'react'
import { View, TextInput, TouchableOpacity, Text } from 'react-native'
import { useDatabase } from '@nozbe/watermelondb/hooks'
export default function CreatePost() {
const [title, setTitle] = useState('')
const [body, setBody] = useState('')
const database = useDatabase()
const createPost = async () => {
if (!title.trim() || !body.trim()) return
await database.write(async () => {
await database.get('posts').create(post => {
post.title = title
post.body = body
post.isPinned = false
})
})
// Clear form
setTitle('')
setBody('')
}
return (
<View style={{ padding: 20 }}>
<TextInput
placeholder="Post title"
value={title}
onChangeText={setTitle}
style={{ borderWidth: 1, padding: 10, marginBottom: 10 }}
/>
<TextInput
placeholder="Post body"
value={body}
onChangeText={setBody}
multiline
style={{ borderWidth: 1, padding: 10, height: 100, marginBottom: 10 }}
/>
<TouchableOpacity
onPress={createPost}
style={{ backgroundColor: 'blue', padding: 15, borderRadius: 8 }}
>
<Text style={{ color: 'white', textAlign: 'center' }}>
Create Post
</Text>
</TouchableOpacity>
</View>
)
}
7. Advanced Querying
WatermelonDB provides a powerful query API that lets you efficiently filter, sort, and paginate your data.
Complex Queries
import { Q } from '@nozbe/watermelondb'
// Get all pinned posts sorted by creation date
const pinnedPosts = await database.get('posts').query(
Q.where('is_pinned', true),
Q.sortBy('created_at', Q.desc)
).fetch()
// Get posts with specific conditions
const recentPosts = await database.get('posts').query(
Q.where('created_at', Q.gt(Date.now() - 7 * 24 * 60 * 60 * 1000)), // Last 7 days
Q.where('is_pinned', Q.notEq(true)), // Not pinned
Q.sortBy('created_at', Q.desc),
Q.take(10) // Limit to 10 results
).fetch()
// Text search (case-insensitive)
const searchPosts = await database.get('posts').query(
Q.where('title', Q.like('%react native%')),
Q.or(
Q.where('title', Q.like('%watermelon%')),
Q.where('body', Q.like('%database%'))
)
).fetch()
// Join queries - get posts with their comment count
const postsWithCommentCount = await database.get('posts').query(
Q.experimentalJoinTables(['comments']),
Q.on('comments', 'post_id', 'posts.id'),
Q.sortBy('created_at', Q.desc)
).fetch()
// Pagination
async function getPostsPaginated(page = 0, limit = 20) {
const posts = await database.get('posts').query(
Q.sortBy('created_at', Q.desc),
Q.skip(page * limit),
Q.take(limit)
).fetch()
return posts
}
Real-time Queries with Observables
// Custom hook for live search
import { useState, useEffect } from 'react'
import { useDatabase } from '@nozbe/watermelondb/hooks'
import { Q } from '@nozbe/watermelondb'
function usePostSearch(searchTerm) {
const [posts, setPosts] = useState([])
const database = useDatabase()
useEffect(() => {
if (!searchTerm.trim()) {
setPosts([])
return
}
const query = database.get('posts').query(
Q.where('title', Q.like(`%${searchTerm}%`)),
Q.sortBy('created_at', Q.desc)
)
// Subscribe to live updates
const subscription = query.observe().subscribe(setPosts)
return () => subscription.unsubscribe()
}, [searchTerm, database])
return posts
}
// Usage in component
function SearchablePostList() {
const [searchTerm, setSearchTerm] = useState('')
const posts = usePostSearch(searchTerm)
return (
<View>
<TextInput
placeholder="Search posts..."
value={searchTerm}
onChangeText={setSearchTerm}
/>
<FlatList
data={posts}
renderItem={({ item }) => <PostItem post={item} />}
keyExtractor={item => item.id}
/>
</View>
)
}
8. Data Operations (CRUD)
Creating Records
// Always wrap writes in database.write()
await database.write(async () => {
// Create a simple record
const newPost = await database.get('posts').create(post => {
post.title = 'My New Post'
post.body = 'Post content here...'
post.isPinned = false
})
// Create related records
const comment = await database.get('comments').create(comment => {
comment.body = 'Great post!'
comment.authorName = 'John Doe'
comment.post.set(newPost) // Set the relationship
})
return newPost
})
Updating Records
// Update a single record
await database.write(async () => {
await post.update(post => {
post.title = 'Updated Title'
post.isPinned = true
})
})
// Batch updates
await database.write(async () => {
const updates = posts.map(post =>
post.prepareUpdate(post => {
post.isPinned = false
})
)
await database.batch(...updates)
})
Deleting Records
// Delete a single record
await database.write(async () => {
await post.destroyPermanently()
})
// Batch delete
await database.write(async () => {
const deletions = oldPosts.map(post => post.prepareDestroyPermanently())
await database.batch(...deletions)
})
// Cascade delete with relationships
await database.write(async () => {
// This will also delete all related comments
await post.destroyPermanently()
})
9. Performance Optimization
Batch Operations
For better performance, always batch multiple operations:
// β Bad: Multiple separate writes
async function importPosts(postData) {
for (const data of postData) {
await database.write(async () => {
await database.get('posts').create(post => {
post.title = data.title
post.body = data.body
})
})
}
}
// β
Good: Single batched write
async function importPosts(postData) {
await database.write(async () => {
const posts = postData.map(data =>
database.get('posts').prepareCreate(post => {
post.title = data.title
post.body = data.body
})
)
await database.batch(...posts)
})
}
Query Optimization
// Use indexes for frequently queried fields
const usersByEmail = await database.get('users').query(
Q.where('email', email) // Fast if email is indexed
).fetch()
// Limit results when possible
const recentPosts = await database.get('posts').query(
Q.sortBy('created_at', Q.desc),
Q.take(20) // Only get what you need
).fetch()
// Use lazy loading for related data
const enhance = withObservables(['post'], ({ post }) => ({
post,
// Comments loaded only when component renders
comments: post.comments.observe()
}))
Memory Management
// Use pagination for large datasets
function usePaginatedPosts(pageSize = 20) {
const [posts, setPosts] = useState([])
const [page, setPage] = useState(0)
const [loading, setLoading] = useState(false)
const database = useDatabase()
const loadMore = async () => {
if (loading) return
setLoading(true)
const newPosts = await database.get('posts').query(
Q.sortBy('created_at', Q.desc),
Q.skip(page * pageSize),
Q.take(pageSize)
).fetch()
setPosts(current => [...current, ...newPosts])
setPage(current => current + 1)
setLoading(false)
}
return { posts, loadMore, loading }
}
10. Testing WatermelonDB
Setting Up Tests
// __tests__/database.test.js
import { Database } from '@nozbe/watermelondb'
import LokiJSAdapter from '@nozbe/watermelondb/adapters/lokijs'
import { mySchema } from '../model/schema'
import Post from '../model/Post'
import Comment from '../model/Comment'
// Use LokiJS for faster in-memory testing
function createTestDatabase() {
const adapter = new LokiJSAdapter({
schema: mySchema,
useWebWorker: false,
useIncrementalIndexedDB: false,
})
return new Database({
adapter,
modelClasses: [Post, Comment],
})
}
describe('Post Model', () => {
let database
beforeEach(() => {
database = createTestDatabase()
})
it('should create a post', async () => {
let post
await database.write(async () => {
post = await database.get('posts').create(p => {
p.title = 'Test Post'
p.body = 'Test content'
})
})
expect(post.title).toBe('Test Post')
expect(post.body).toBe('Test content')
})
it('should create comments for post', async () => {
let post, comment
await database.write(async () => {
post = await database.get('posts').create(p => {
p.title = 'Test Post'
p.body = 'Test content'
})
comment = await database.get('comments').create(c => {
c.body = 'Test comment'
c.authorName = 'Test Author'
c.post.set(post)
})
})
const comments = await post.comments.fetch()
expect(comments).toHaveLength(1)
expect(comments[0].body).toBe('Test comment')
})
})
11. Migration and Schema Updates
As your app evolves, you'll need to update your database schema. WatermelonDB provides a migration system to handle this safely.
Creating Migrations
// migrations.js
import { schemaMigrations, addColumns, createTable } from '@nozbe/watermelondb/Schema/migrations'
export default schemaMigrations({
migrations: [
// Migration from version 1 to 2
{
toVersion: 2,
steps: [
addColumns({
table: 'posts',
columns: [
{ name: 'featured_image_url', type: 'string', isOptional: true },
{ name: 'view_count', type: 'number' }
]
})
]
},
// Migration from version 2 to 3
{
toVersion: 3,
steps: [
createTable({
name: 'categories',
columns: [
{ name: 'name', type: 'string' },
{ name: 'description', type: 'string', isOptional: true },
{ name: 'color', type: 'string' },
{ name: 'created_at', type: 'number' },
{ name: 'updated_at', type: 'number' }
]
}),
addColumns({
table: 'posts',
columns: [
{ name: 'category_id', type: 'string', isIndexed: true, isOptional: true }
]
})
]
}
]
})
Applying Migrations
// database/index.js
import migrations from './migrations'
const adapter = new SQLiteAdapter({
schema: mySchema,
migrations,
onSetUpError: error => {
console.error('Database setup error:', error)
}
})
// Update your schema version
export const mySchema = appSchema({
version: 3, // Increment when adding migrations
tables: [
// ... your tables
]
})
12. Best Practices and Common Pitfalls
Do's and Don'ts
- Always wrap writes in
database.write()
- Use batch operations for multiple changes
- Index columns you frequently query by
- Use
withObservables
for reactive components - Implement proper error handling
- Use migrations for schema changes in production
- Test your database operations
- Don't perform writes outside
database.write()
- Avoid multiple separate writes - use batching instead
- Don't index every column - it hurts performance
- Never modify schema version without migrations in production
- Don't forget to handle loading states in your UI
- Avoid deeply nested queries - optimize with proper indexing
Error Handling
// Proper error handling
async function createPostSafely(title, body) {
try {
await database.write(async () => {
const post = await database.get('posts').create(post => {
post.title = title
post.body = body
})
return post
})
} catch (error) {
console.error('Failed to create post:', error)
// Handle error appropriately
throw new Error('Failed to create post. Please try again.')
}
}
// Handle database connection issues
const adapter = new SQLiteAdapter({
schema: mySchema,
onSetUpError: error => {
console.error('Database setup failed:', error)
// Could show user-friendly error message
// or fallback to offline mode
}
})
13. Real-World Example: Todo App
Let's build a complete example to see WatermelonDB in action:
Schema Definition
// model/schema.js
import { appSchema, tableSchema } from '@nozbe/watermelondb'
export const todoSchema = appSchema({
version: 1,
tables: [
tableSchema({
name: 'todos',
columns: [
{ name: 'text', type: 'string' },
{ name: 'is_completed', type: 'boolean' },
{ name: 'priority', type: 'string' }, // 'low', 'medium', 'high'
{ name: 'due_date', type: 'number', isOptional: true },
{ name: 'created_at', type: 'number' },
{ name: 'updated_at', type: 'number' }
]
})
]
})
Todo Model
// model/Todo.js
import { Model } from '@nozbe/watermelondb'
import { field, date } from '@nozbe/watermelondb/decorators'
export default class Todo extends Model {
static table = 'todos'
@field('text') text
@field('is_completed') isCompleted
@field('priority') priority
@date('due_date') dueDate
@date('created_at') createdAt
@date('updated_at') updatedAt
get isOverdue() {
if (!this.dueDate || this.isCompleted) return false
return this.dueDate < Date.now()
}
async toggle() {
await this.update(todo => {
todo.isCompleted = !todo.isCompleted
})
}
}
Todo List Component
// components/TodoList.js
import React, { useState } from 'react'
import { View, Text, FlatList, TouchableOpacity, TextInput, Alert } from 'react-native'
import { withDatabase } from '@nozbe/watermelondb/DatabaseProvider'
import { withObservables } from '@nozbe/watermelondb/react'
import { Q } from '@nozbe/watermelondb'
function TodoList(props) {
const { todos, database } = props
const [newTodoText, setNewTodoText] = useState('')
const addTodo = async () => {
if (!newTodoText.trim()) return
try {
await database.write(async () => {
await database.get('todos').create(todo => {
todo.text = newTodoText.trim()
todo.isCompleted = false
todo.priority = 'medium'
})
})
setNewTodoText('')
} catch (error) {
Alert.alert('Error', 'Failed to add todo')
}
}
const deleteTodo = async (todo) => {
try {
await database.write(async () => {
await todo.destroyPermanently()
})
} catch (error) {
Alert.alert('Error', 'Failed to delete todo')
}
}
const renderTodo = ({ item: todo }) => (
<View style={{
flexDirection: 'row',
padding: 15,
borderBottomWidth: 1,
backgroundColor: todo.isCompleted ? '#f0f0f0' : 'white'
}}>
<TouchableOpacity
onPress={() => todo.toggle()}
style={{ marginRight: 15 }}
>
<Text style={{ fontSize: 20 }}>
{todo.isCompleted ? 'β
' : 'β'}
</Text>
</TouchableOpacity>
<View style={{ flex: 1 }}>
<Text style={{
textDecorationLine: todo.isCompleted ? 'line-through' : 'none',
color: todo.isOverdue ? 'red' : 'black'
}}>
{todo.text}
</Text>
<Text style={{ color: 'gray', fontSize: 12 }}>
Priority: {todo.priority}
{todo.isOverdue && ' β’ OVERDUE'}
</Text>
</View>
<TouchableOpacity
onPress={() => deleteTodo(todo)}
style={{ padding: 5 }}
>
<Text style={{ color: 'red' }}>Delete</Text>
</TouchableOpacity>
</View>
)
return (
<View style={{ flex: 1 }}>
<View style={{ padding: 15, borderBottomWidth: 1 }}>
<TextInput
placeholder="Add new todo..."
value={newTodoText}
onChangeText={setNewTodoText}
onSubmitEditing={addTodo}
style={{ borderWidth: 1, padding: 10, borderRadius: 5 }}
/>
</View>
<FlatList
data={todos}
renderItem={renderTodo}
keyExtractor={item => item.id}
/>
</View>
)
}
const enhance = withObservables([], ({ database }) => ({
todos: database.collections.get('todos').query(
Q.sortBy('created_at', Q.desc)
)
}))
export default withDatabase(enhance(TodoList))
Conclusion
WatermelonDB represents a paradigm shift in how we approach database management in React Native applications. By combining the reliability of SQLite with reactive programming principles and lazy loading, it solves the fundamental performance challenges that plague traditional database solutions in mobile apps.
- Performance First: WatermelonDB's lazy loading ensures your app launches instantly, regardless of data size
- Reactive by Design: Automatic UI updates when data changes eliminate manual state management
- Production Ready: Powers apps like Nozbe Teams with tens of thousands of users
- Developer Experience: Clean APIs, TypeScript support, and excellent documentation
- Scalable Architecture: Built to grow with your app from prototype to enterprise
The reactive nature of WatermelonDB isn't just a technical featureβit's a fundamental shift that makes your components cleaner, your data flow more predictable, and your app more maintainable. When you combine this with the performance benefits of lazy loading and SQLite's reliability, you get a database solution that scales effortlessly from hundreds to tens of thousands of records.
- Start with a simple schema and gradually add complexity
- Implement proper indexing strategies for your query patterns
- Use batch operations for better performance
- Set up comprehensive testing from the beginning
- Plan your migration strategy for production apps
- Explore sync capabilities for offline-first experiences
Whether you're building a note-taking app, a social platform, or a complex enterprise application, WatermelonDB provides the foundation you need to create fast, reliable, and maintainable React Native apps. The investment in learning WatermelonDB pays dividends as your app grows in complexity and user base.
Remember: the best database is one that gets out of your way and lets you focus on building great user experiences. WatermelonDB does exactly thatβit handles the complex database operations efficiently while providing a clean, reactive interface that makes your React Native development more enjoyable and productive.
Don't let database performance hold back your React Native app. Start with the examples in this guide, build your first WatermelonDB-powered feature, and experience the difference that a truly reactive, high-performance database can make.
π Ready to catch UI issues before your users do?
Use Viewlytics to automatically capture and analyze your app's UI across real devices. Our AI-powered platform helps you identify visual bugs, layout issues, and inconsistencies before they impact user experience.
Start UI Testing with Viewlytics