Expo Realm vs Expo SQLite: A Practical, Developer-Centric Comparison for Expo Apps

Explore the differences between Expo Realm and Expo SQLite, including installation, data modeling, CRUD operations, and advanced features.

Blog cover image
2101050's avatar
2101050
12 views

Expo Realm vs Expo SQLite: A Practical, Developer-Centric Comparison for Expo Apps


1. Introduction: Local Databases in Expo – Why Realm and SQLite?

Modern Expo and React Native app builders face high demands: seamless offline support, fast data querying, and the ability to sync or scale as needs evolve. Most simple solutions (like AsyncStorage) hit limits as soon as you need relationships, data constraints, migrations, or fast search. That’s where Expo Realm and Expo SQLite stand out—one offering object/document-oriented local storage with powerful live queries and cloud sync, the other providing rock-solid SQL with familiar schema, transactions, and efficient queries.

This post delivers a practical lens on both tools—why you’d choose one or the other, and how to quickly get your project started with robust patterns and code.

Quick Decision Table:

FeatureRealmSQLite
Data ModelObject/NoSQLSQL/Table
Live ReactivityBuilt-inManual query
Cloud SyncYes (Atlas)DIY
Reporting/AnalyticsLess idiomaticExcellent
Expo Go supportNoYes

(See [Section 9] for a full summary matrix and checklist.)


2. Expo Realm: Installation, Setup, and Project Integration

Realm delivers fast, ACID-compliant, object data stores with automatic reactivity and deep relationship support. But due to native code dependencies, Expo projects require a few extra setup steps—especially for managed workflow.

Install in Expo (Managed, with expo-dev-client):

Sh
1npx expo install realm @realm/react 2npm install expo-dev-client 3npx expo run:android # or run:ios for Apple devices 4
  • Use EAS Build for production/release (see official EAS Docs).

Schema & Provider:

Js
1class Idea extends Realm.Object { 2 static schema = {...}; 3} 4import { RealmProvider } from '@realm/react'; 5<RealmProvider schema={[Idea]}>{/* Your App */}</RealmProvider> 6
  • Use React hooks (useRealm, useQuery) for all data access (see detailed CRUD in Section 4).

Troubleshooting:

  • Realm requires expo-dev-client or bare workflow (does not work in basic Expo Go).
  • For model changes, increment schemaVersion and provide onMigration.
  • See official compatibility table for Expo/Realm/React Native versions.

3. Expo SQLite: Installation, Integration, and Workflow Compatibility

SQLite is the default, frictionless relational database for Expo, supported fully in managed (Expo Go/EAS) and bare workflows.

Install:

Sh
1npx expo install expo-sqlite 2
  • No custom dev-client/ejecting required.

Basic Usage:

Js
1import * as SQLite from 'expo-sqlite'; 2const db = SQLite.openDatabase('mydb.db'); 3db.transaction(tx => { 4 tx.executeSql('CREATE TABLE IF NOT EXISTS ideas (...);'); 5}); 6
  • All CRUD involves explicit SQL and transactions (see Section 5 for code and best practices).
  • Works out of the box with Expo Go, EAS Build, and all release workflows.

Integration Tips:

  • Store file paths with expo-file-system for backup/restore.
  • Use state management (React state, Redux) to refresh UI after data changes.

4. Data Modeling and CRUD Operations: Expo Realm in Practice

  • Modeling: Use JavaScript classes for object schemas (examples in Section 4).
  • CRUD with Hooks:
    Js
    1const realm = useRealm(); 2realm.write(() => { realm.create('Task', {...}); }); 3const tasks = useQuery(Task, q => q.filtered('done == false')); 4
  • Live reactivity: UI auto-updates as soon as database changes.
  • Relationships: Direct object refs and arrays (tasks on a Project).
  • Migrations: Bump schemaVersion, supply migration callback.

See official examples and DennyWanye's Expo Realm Guide.


5. Data Modeling and CRUD Patterns: Expo SQLite in the Real World

  • Schema: Defined through CREATE TABLE SQL statements.
  • CRUD: All with SQL, e.g.
    Js
    1tx.executeSql('INSERT INTO notes (title) VALUES (?);', [title]); 2tx.executeSql('SELECT * FROM notes;', [], (_, {rows}) => ...); 3
  • Join and Relations: Via foreign keys, manual JOINs.
  • Migration: Use ALTER TABLE ... and version check on app load.
  • State & UI: Read fresh data into React state after every mutation.

Example projects:


6. Advanced Features, Cloud Sync, and Limitations

Realm Advanced:

  • Live queries, deep relationships, offline-first sync via MongoDB Atlas, built-in encryption, native performance.
  • Limits: Not usable in Expo Go, native-only, migration necessary for schema changes.

SQLite Advanced:

  • Full SQL: aggregations, JOINs, indexing, batch operations, FTS (full text search)
  • Third-party wrappers: expo-sqlite-orm, WatermelonDB.
  • Limits: No built-in live queries; migrations are manual.

7. Real-World Case Studies: Projects and Patterns

  • Realm: Collaborative notes, offline-first CRMs (see realm/realm-examples).
    • Architecture: RealmProvider at root, live hooks, cloud sync optional.
    • Pattern: Hooks and services for all CRUD, JSON export for portability.
  • SQLite: Field data loggers, reporting/analytics trackers.
    • Pattern: Service modules, scheduled data flush/batch, state refresh after write.
    • Use SQLite for dashboard-style apps or high-volume, analytics-rich data.

8. Migration, Integration, and Multi-Database Patterns

  • Migration Steps: Export to JSON/CSV, map/transform, batch insert into new engine.
  • Hybrid Apps: Store primary data in Realm; logs/analytics in SQLite (or vice versa).
  • Scripts/Utilities: Use expo-file-system for transfers; example Node/Expo code in Section 8.
  • Community references: expo-sqlite-orm, Realm migration docs

9. Conclusion, Choosing the Right Tool, and Resources

Feature/NeedExpo RealmExpo SQLite
Live sync/reactivity✔️ (object, hook-based)Manual, polling
SQL/analyticsLess convenient✔️ (with joins & aggregations)
Expo Go supportNeeds custom dev client✔️ (default)
MigrationsBuilt-in and testedManual or ORM
EncryptionBuilt-inNot by default
Analytics/legacy SQLConvert or hybridize✔️

Actionable checklist:

  • Need Expo Go simplicity? → SQLite
  • Will your app sync/collaborate in real time? → Realm
  • SQL familiarity or deep analytics? → SQLite
  • Multiple data layers (e.g., logs + objects)? → Run both, with clear code separation and migration utilities.

Resources

Recommended Articles

Discover more articles you might find interesting

Implementing LangGraph REST API with FastAPI
Technical Insights

Implementing LangGraph REST API with FastAPI

This guide provides a comprehensive implementation plan for building a LangGraph REST API using FastAPI, covering environment setup, agent definitions, endpoint creation, testing, and deployment.

2101050
Jun 18
153
Read More
DeepSite v2 Practical Guide
Technical Insights

DeepSite v2 Practical Guide

A comprehensive guide to DeepSite v2, covering its features, installation, and advanced workflows.

2101050
Jun 21
112
Read More
Fastify OpenTelemetry: Logging, Metrics, and Tracing in Practice
Technical Insights

Fastify OpenTelemetry: Logging, Metrics, and Tracing in Practice

Learn how to implement logging, metrics, and tracing in Fastify using OpenTelemetry.

2101050
Jul 11
106
Read More
Creating Diverse Logo Designs with Flux Model and ComfyUI
Technical Insights

Creating Diverse Logo Designs with Flux Model and ComfyUI

Learn to leverage the Flux model and ComfyUI for unique logo designs through effective prompts and examples.

2101050
Jan 10
93
Read More
Formatting Dates in TypeScript to UTC
Technical Insights

Formatting Dates in TypeScript to UTC

A guide on how to format dates in TypeScript to the specific format YYYY-MM-DDTHH:mm:ss+00:00.

2101050
Dec 19
83
Read More
Implementing a Custom Chat Model with LangChain
Technical Insights

Implementing a Custom Chat Model with LangChain

This guide provides a comprehensive blueprint for creating a custom chat model by subclassing LangChain's BaseChatModel, including configuration, method overrides, and error handling.

2101050
Jun 17
78
Read More