JsonAPI VS JSONiq

• Standardization
  JSON:API provides a standardized format for building APIs, which promotes consistency and interoperability between different APIs.
• Efficiency
  It supports features like sparse fieldsets, compound documents, and included relationships which help in reducing the amount of data transferred and improving response times.
• Decoupling
  JSON:API encourages a clear separation between client and server, allowing them to evolve independently as long as they adhere to the specification.
• Error Handling
  It has a well-defined error format that makes it easier for clients to understand what went wrong and how to fix it.
• Community and Tooling
  A growing community and increasing tooling support make it easier to implement JSON:API in various server-side and client-side technologies.

Possible disadvantages

• Complexity
  The specification can be complex and may introduce a learning curve for developers who are new to it or used to simpler REST approaches.
• Overhead
  Strict adherence to the JSON:API specification can sometimes introduce additional overhead in terms of implementation effort, especially for small projects.
• Flexibility
  While the standardization is beneficial, it can reduce flexibility in scenarios where a more customized or optimized solution is needed.
• Adoption
  Although growing, JSON:API is not as widely adopted as other conventions like simple REST, and thus some developers and projects might resist switching to it.
• Resource Intensive
  Some features of JSON:API, like relationship links and included resources, can become resource-intensive for the server if not implemented carefully.

• Expressive Query Language
  JSONiq is designed for querying and transforming JSON data comprehensively and intuitively, supporting complex filtering, sorting, and restructuring operations.
• JSON Native
  Unlike SQL or XQuery which primarily handle relational or XML data, JSONiq is specifically tailored for JSON, making it more suitable for applications and services dealing extensively with JSON.
• Interoperability
  JSONiq is designed to work well with NoSQL databases and JSON-based data stores, providing a powerful query mechanism across different platforms and systems.
• Flexibility
  The language provides flexible query capabilities that make it easier to handle dynamic and nested data structures typical of JSON documents.

Possible disadvantages

• Adoption and Maturity
  JSONiq is not as widely adopted as SQL, resulting in a smaller community, fewer resources for support and learning, and potentially limited integration with existing tools and technologies.
• Performance for Complex Queries
  Performance might be an issue when dealing with exceedingly large datasets or very complex queries, depending on the engine or implementation used.
• Limited Tooling
  Compared to more mature query languages like SQL, JSONiq has a relatively limited set of tools for development, debugging, and optimization.
• Learning Curve
  For developers accustomed to SQL or other query languages, there might be a learning curve associated with understanding JSONiq's syntax and capabilities.

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Tracking JSONiq since Mar 2021.