GraphQL, on the other hand, is a query language devised to work over one endpoint through HTTP, upgrading performance and adaptability. I would even say that comparing query language and architectural style for developing web services may look strange :). Some of the other prominent differences include:
…instinctive and adjustable format, for portraying their data prerequisites as well as interactions. The best part is the language isn’t dependent on any specific database management system and is actually supported by your current data and coding.
The second option is to generate the code that enforces all of the validation rules. This guarantees that the functionality will match the spec as long as the generator is run and the code isn’t updated afterwards. However, the generated code will live is source control as a duplication of the logic defined in th…
… this. First, the developers can read the spec and then hand-write code to follow all of the rules. While this works fine for super small projects, the burden of hand-writing a spec and then hand-writing the whole implementation is probably cost prohibitive for anything more than a few routes.
But if the spec is machine-readable, then a whole host of automation possibilities opens up from code generation, test generation, validation, etc. Describing the complete functionality of an API is a lot of work. Ensuring that the resulting description is published in a machine readable format does take a bit more effort, but that effort is good investment.