Async-GraphQL vs GraphQL Mesh: What are the differences?

## Introduction
In the world of GraphQL, two popular tools that are often used are Async-GraphQL and GraphQL Mesh. Both tools have unique features and capabilities that cater to different needs of developers. 

1. Execution Style: Async-GraphQL is designed for building GraphQL servers in an async/await syntax, making it easier to work with asynchronous operations. On the other hand, GraphQL Mesh allows developers to access multiple APIs and data sources, aggregating them into a single GraphQL schema, which can be utilized for querying and manipulating data efficiently.

2. Schema Stitching vs Schema Delegation: Async-GraphQL uses schema stitching to combine multiple schemas into one, which can sometimes lead to complexities in managing the overall schema. In contrast, GraphQL Mesh uses schema delegation, which allows developers to delegate parts of the schema to different APIs, resulting in more modular and easier-to-manage schemas.

3. Custom Resolvers: Async-GraphQL provides flexibility in defining custom resolvers and data fetching logic within the schema, giving developers control over how data is resolved. GraphQL Mesh, on the other hand, automates the process of generating resolvers based on the schema definition and data sources, reducing the need for manual resolver implementation.

4. Static Typing: Async-GraphQL does not come with built-in static typing capabilities, making it potentially prone to runtime errors related to typing mismatches. In contrast, GraphQL Mesh leverages TypeScript to provide strong static typing support, ensuring type safety and reducing the likelihood of runtime errors.

5. Data Source Handling: Async-GraphQL requires developers to handle data fetching and manipulation manually within the resolvers, which can be time-consuming and error-prone. In GraphQL Mesh, data sources are managed automatically, allowing developers to focus more on schema design and less on data retrieval logic.

6. Integrations: Async-GraphQL integrates seamlessly with popular Rust web frameworks like Actix and Warp, enabling developers to leverage the strengths of both technologies for building efficient GraphQL servers. On the other hand, GraphQL Mesh offers integrations with various API sources, including REST, gRPC, and SOAP, providing a unified GraphQL interface for diversified data access.

## Summary
In summary, Async-GraphQL excels in async/await syntax and custom resolver control, while GraphQL Mesh shines in schema delegation, static typing with TypeScript, automated data source handling, and diverse API integrations.