GORM vs Jugglingdb: What are the differences?

## Key Differences between GORM and Jugglingdb 

1. **Database Support**: GORM is primarily focused on supporting the SQL database while Jugglingdb has broader support for various databases such as MongoDB, CouchDB, Redis, and more.

2. **Model Definition**: In GORM, models are defined using struct tags in Go language, making it simple and intuitive. On the other hand, Jugglingdb uses a separate modeling language called jugglingdb schema, which can be more verbose and complex for some developers.

3. **Relationship Handling**: GORM provides robust support for defining and handling relationships between models using various types like `hasOne`, `hasMany`, and more. In contrast, Jugglingdb offers a more abstract approach to relationships, which may require more effort in implementation.

4. **Performance**: GORM is well-known for its performance optimization techniques, such as lazy loading, caching, and prefetching, to enhance the overall speed and efficiency of database operations. Jugglingdb, while capable, may not have the same level of performance optimization features as GORM.

5. **Community and Support**: GORM has a larger and more active community of developers, leading to frequent updates, bug fixes, and a rich ecosystem of plugins and extensions. Jugglingdb, while supported by a dedicated community, may not have the same level of community engagement and breadth of resources.

6. **Documentation**: GORM provides comprehensive and well-structured documentation, making it easier for developers to learn and use the framework efficiently. Jugglingdb, on the other hand, may have less extensive or organized documentation, which can pose challenges for new users in understanding and utilizing its features.

In Summary, GORM and Jugglingdb differ in database support, model definition, relationship handling, performance optimization, community support, and documentation.