EdgeDB vs RethinkDB: What are the differences?

# Introduction
When it comes to database management systems, EdgeDB and RethinkDB are two popular choices used by developers. Both offer unique features and functionalities that cater to different use cases. In this comparison, we will highlight the key differences between EdgeDB and RethinkDB.

1. Data Modeling: EdgeDB utilizes a strongly-typed approach to data modeling, allowing developers to define complex data structures and enforce constraints at the database level. On the other hand, RethinkDB provides a more flexible schema-less data model, making it easier to handle unstructured or evolving data.

2. Query Language: EdgeQL, the query language used by EdgeDB, is specifically designed to work with the data model and provides powerful features for relational data manipulation and filtering. In contrast, RethinkDB uses ReQL, a functional query language that allows for real-time data processing and aggregation through fluent, chainable queries.

3. Scalability: EdgeDB offers sharding capabilities out of the box for horizontal scaling, allowing for seamless distribution of data across multiple nodes. RethinkDB also supports sharding for scalability but may require additional configuration and setup to achieve optimal performance in distributed environments.

4. Consistency Model: EdgeDB follows a strict, ACID-compliant consistency model, ensuring data integrity and reliability in transactions. RethinkDB, on the other hand, provides eventual consistency by default but also allows developers to configure different levels of consistency based on their application requirements.

5. Deployment Options: EdgeDB is primarily designed to be deployed as a managed service or self-hosted on dedicated servers, offering more control over the infrastructure and resources. RethinkDB is available as a standalone database server or can be integrated into containerized environments for easier deployment and management.

6. Community Support: EdgeDB has a growing community of users and contributors, providing active support through forums, documentation, and open-source contributions. RethinkDB, although popular in the past, has seen a decline in community activity and development, leading to potential limitations in terms of ongoing support and updates.

In Summary, EdgeDB and RethinkDB differ in their data modeling approach, query language, scalability options, consistency model, deployment choices, and community support, making them suitable for different use cases depending on the project requirements.