Crux (open source) vs Datomic: What are the differences?

## Key Differences Between Crux (open source) and Datomic

Crux and Datomic are both designed to handle complex data queries, but there are notable differences between the two platforms that users should consider. 

1. **Data Storage Approach**: Crux utilizes a log-based approach to data storage, ensuring that historical data can be easily navigated and queried. In contrast, Datomic employs an append-only storage model that allows for efficient database transactions while still providing a full audit trail. 
   
2. **Scalability**: Crux is specifically designed for scalability and horizontal distribution, with built-in support for sharding and distributed processing. Datomic, on the other hand, is more focused on providing strong consistency guarantees within a single database instance.
   
3. **Query Language**: Crux uses Datalog as its query language, providing users with a powerful and expressive way to retrieve and manipulate data. Datomic, however, offers a more SQL-like query language that may be more familiar to those with traditional database experience. 

4. **Consistency Model**: Crux utilizes an eventual consistency model, allowing for highly available and fault-tolerant systems. In contrast, Datomic emphasizes the importance of consistency and correctness, providing strong guarantees even in the face of network partitions or failures.

5. **Licensing**: Crux is an open-source project released under the EPL-2.0 license, allowing for greater flexibility and collaboration within the developer community. Datomic, however, is a commercial product with a proprietary license that may come with certain restrictions on usage and distribution.

6. **Ecosystem Integration**: Crux is designed to work seamlessly with other open-source software tools and frameworks, making it easier to integrate into existing tech stacks. Datomic, on the other hand, may require more proprietary components for full compatibility and functionality. 

In Summary, while both Crux and Datomic offer robust solutions for managing complex data systems, their key differences lie in their data storage approach, scalability, query language, consistency model, licensing, and ecosystem integration.