SQLite vs. MySQL: Key Differences
Both SQLite and MySQL are popular relational database management systems (RDBMS), but they differ in architecture, use cases, performance, and security. Here’s a concise breakdown of their differences:
TL;DR
- SQLite: Lightweight, serverless, single-file database, ideal for mobile apps, small websites, and prototyping.
- MySQL: Client-server model, highly scalable and secure, suited for enterprise apps, high-traffic websites, and e-commerce.
Comparison Overview
Feature | SQLite | MySQL |
---|---|---|
Architecture | Serverless; database stored in a single file. | Client-server; requires a running server for handling queries. |
Data Types | Flexible, dynamic types with minimal constraints. | Strict data types ensuring better data integrity. |
Concurrency | Single-writer, file-level locking. | High concurrency with row-level locking. |
Performance | Best for read-heavy, small to medium applications. | Scales for large, high-traffic, and write-intensive systems. |
Security | Relies on filesystem permissions for access. | User authentication, encryption, and access control. |
Use Cases | Mobile apps, embedded systems, testing, and prototypes. | Enterprise apps, e-commerce, data warehousing, analytics. |
Licensing | Public domain (completely free). | Free (GPL) with commercial licensing options via Oracle. |
Detailed Comparison
Architecture
- SQLite:
- Serverless; embedded into the application.
- Entire database stored in a single, portable file.
- Ideal for simplicity and easy setup.
- MySQL:
- Client-server model with server handling database operations.
- Requires server setup, suitable for remote and distributed systems.
Data Types
- SQLite:
- Limited types (
integer
,real
,text
,blob
) with flexible storage. - Type affinities allow storing any data type in any column.
- May lead to data integrity issues if unchecked.
- Limited types (
- MySQL:
- Rich, strict data types (
integer
,varchar
,datetime
, etc.). - Ensures strict enforcement of column data integrity.
- Rich, strict data types (
Concurrency
- SQLite:
- Single writer allowed; file-level locking during write operations.
- Supports multiple simultaneous reads.
- MySQL:
- Multi-threaded with high concurrency.
- Uses row-level locking for better performance in concurrent environments.
Performance and Scalability
- SQLite:
- Optimized for small, read-intensive workloads.
- Can handle databases up to ~281 TB but slows significantly with heavy writes.
- MySQL:
- Designed for large-scale applications with high traffic.
- Features like clustering, sharding, and partitioning support scalability.
Security
- SQLite:
- Relies on file access permissions for security.
- Suitable for single-user or embedded environments.
- MySQL:
- Advanced security features like user authentication, role-based access, and SSL/TLS.
- Allows fine-grained control over database access and encryption.
Use Cases
- SQLite:
- Prototyping, mobile apps, small websites, desktop apps.
- Embedded systems with lightweight storage needs.
- MySQL:
- Large-scale enterprise applications, e-commerce platforms, and analytics.
- High-traffic websites with complex queries and heavy write operations.
When to Choose
-
SQLite:
- For lightweight, embedded applications.
- When simplicity and portability are key.
- If setup time and maintenance need to be minimal.
-
MySQL:
- For enterprise-grade, scalable systems.
- When security and concurrency are priorities.
- For handling complex, high-volume workloads.
Both databases excel in their respective domains; understanding project requirements will help you make the right choice.