SQLite vs H2 Database Engine : Which is Better?
SQLite
SQLite is an in-process library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. Developed by D. Richard Hipp, Dan Kennedy, Joe Mistachkin
License: Open Source
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SQLite VS H2 Database Engine
H2 Database Engine is a powerful, feature-rich database with support for advanced SQL features, making it suitable for larger applications and development environments. In contrast, SQLite is a lightweight, portable database ideal for smaller applications and simple use cases, but it lacks some of the advanced features that H2 offers.
SQLite
Pros:
- Lightweight and easy to set up
- Cross-platform compatibility
- Suitable for small to medium-sized applications
- In-memory database option for speed
- Widely used and supported
- Good performance for read-heavy workloads
- Zero configuration required for basic usage
- Excellent documentation and community support
- ACID compliant
- Portable database files
Cons:
- Limited advanced features compared to H2
- No built-in user management
- Limited concurrency control
- Less suitable for high-write applications
- No support for triggers and stored procedures
- Less suited for large-scale applications
- No built-in replication support
- Requires additional configuration for advanced usage
- Not as performant for complex queries
- May not be ideal for enterprise-level applications
H2 Database Engine
Pros:
- Fast performance
- Supports advanced features like triggers and stored procedures
- JDBC support for Java applications
- User management capabilities
- In-memory and disk-based storage options
- Good for development and testing environments
- Extensive documentation and community support
- Lightweight and easy to integrate
- ACID compliance ensures data safety
- Replication support for distributed systems
Cons:
- More complex setup compared to SQLite
- Not as portable as SQLite
- Larger footprint than SQLite
- May require more memory for larger datasets
- Less suitable for very small applications
- Not as widely adopted for mobile applications
- Can be overkill for simple use cases
- Less community support compared to SQLite
- More features can lead to increased complexity
- Performance can degrade with heavy writes
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