SQLite

Master the world's most deployed embedded database engine for mobile and local applications

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What is SQLite?

SQLite is a self-contained, serverless, zero-configuration, transactional SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. It reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views is contained in a single disk file.

SQLite is the most widely deployed database engine in the world, found in every Android device, iPhone, Mac, Windows 10 machine, and most web browsers. It's particularly popular for mobile applications, embedded systems, and small to medium-sized websites due to its simplicity, reliability, and zero administration requirements.

SQLite Performance Calculator

8,000
Reads/sec
100
Writes/sec
14MB
Memory Usage
118MB
Disk Storage

Pages: 25,600

Concurrency: Multiple readers

Suitability: Good

SQLite Key Features

Zero Configuration

No installation, configuration, or administration required.

• No server setup required
• Single file database
• Cross-platform compatibility
• Embedded in application

ACID Compliant

Full transaction support with ACID properties.

• Atomic transactions
• Consistent state guarantees
• Isolation between transactions
• Durable commits

Small Footprint

Compact library size ideal for embedded systems.

• ~600KB library size
• Minimal memory usage
• Perfect for mobile/IoT
• No external dependencies

SQL Standard

Implements most of SQL-92 standard with extensions.

• Standard SQL syntax
• Views, triggers, indexes
• Foreign key constraints
• Common table expressions

SQLite Use Cases

Mobile Applications

Local data storage for iOS and Android applications without network dependencies.

// iOS Core Data uses SQLite underneath
// Android Room persistence library
// React Native + SQLite for offline-first apps

Embedded Systems

IoT devices, automotive systems, and appliances with limited resources.

// Set-top boxes, smart TVs
// Automotive infotainment systems
// Industrial control systems

Desktop Applications

Local application data, configuration, and cache storage.

// Firefox bookmarks and history
// iTunes library database
// Adobe Lightroom catalogs

Web Applications (Small-Medium)

Prototype development, testing, and low-traffic production sites.

// Django development database
// Rails prototyping
// Small business websites

Real-World SQLite Implementations

Apple iOS

Core Data framework uses SQLite as the default persistent store.

  • • Contacts and calendar data
  • • Application preference storage
  • • Message history and media metadata
  • • Health and fitness data

Android

Built-in SQLite support for all Android applications.

  • • App data and preferences
  • • Contact and media databases
  • • Google Play Store cache
  • • System configuration storage

Mozilla Firefox

Uses SQLite for bookmarks, history, and browser data storage.

  • • Bookmark and history storage
  • • Download history and metadata
  • • Form data and password hints
  • • Extension and plugin data

WhatsApp

Stores message history and media metadata locally on devices.

  • • Chat message history
  • • Contact information
  • • Media file metadata
  • • User preferences and settings

When to Use SQLite vs Alternatives

Use SQLite When

  • • Building mobile or desktop applications
  • • Need local data storage without network
  • • Prototyping or small-scale web applications
  • • Embedding in IoT or resource-constrained devices
  • • Caching or temporary data storage
  • • Single-user applications

Consider Alternatives When

  • • Need high write concurrency (>100 concurrent writers)
  • • Building multi-user client-server applications
  • • Require advanced database features (stored procedures)
  • • Need horizontal scaling across multiple machines
  • • Handling very large datasets (>1TB)
  • • Require real-time replication

SQLite Best Practices

✅ Do

  • • Use transactions for multiple related operations
  • • Create indexes for frequently queried columns
  • • Use prepared statements for repeated queries
  • • Enable WAL mode for better concurrency
  • • Regular VACUUM operations for maintenance
  • • Implement proper error handling

❌ Don't

  • • Use for high-concurrency write scenarios
  • • Store very large BLOBs (use file system instead)
  • • Ignore database locking and busy timeouts
  • • Use for client-server architectures
  • • Forget to close database connections
  • • Skip backup strategies for important data

📝 SQLite Quiz

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What type of database is SQLite?