EdgeDB vs RxDB: What are the differences?

Introduction
This Markdown code provides a comparison between EdgeDB and RxDB in terms of key differences.

1. Data Querying: EdgeDB uses its own query language that deeply integrates with its schema, providing advanced data querying capabilities. On the other hand, RxDB utilizes RxJS observables for querying and reacting to changes in the database, offering a more reactive approach to data manipulation.

2. Database Type: EdgeDB is a strongly-typed database that enforces a strict schema, facilitating data integrity and consistency. Conversely, RxDB is a NoSQL database that allows for flexible schema structures, enabling more dynamic data modeling options.

3. Scalability: EdgeDB is designed for scalable deployments, with built-in support for clustering and sharding to distribute data efficiently. In comparison, RxDB focuses on client-side databases and may face limitations in scaling to larger server-side implementations.

4. Development Ecosystem: EdgeDB provides a comprehensive development ecosystem with tooling, documentation, and community support focused on its unique query language. Meanwhile, RxDB integrates seamlessly with JavaScript frameworks and libraries, leveraging the rich ecosystem of the JavaScript community.

5. Use Cases: EdgeDB is ideal for applications that require complex data relationships and transactions, such as financial systems or enterprise resource planning (ERP) software. In contrast, RxDB is well-suited for offline-first applications, real-time data synchronization, and mobile app development.

6. Licensing Model: EdgeDB is released under the Apache License 2.0, offering open-source accessibility and allowing for commercial use and modification. RxDB, on the other hand, operates under the MIT license, providing similar freedoms for usage and modification but with a simpler licensing structure.

In Summary, the key differences between EdgeDB and RxDB lie in their respective data querying approaches, database types, scalability features, development ecosystems, ideal use cases, and licensing models.