GraphQL is a very powerful query language that does a great many things right. When implemented properly, GraphQL offers an extremely elegant methodology for data retrieval, more backend stability, and increased query efficiency.
The key here though is that simple phrase — when implemented properly. Read more
As with any industry, the web API space faces different approaches to standardization. Not least of which are the differences between how API providers choose to define their APIs in a machine readable way with API specifications and description languages.
API definitions have emerged as ways to annotate API functionalities, and there are still many out there catering to varying web service architectures. Read more
In many ways, GraphQL is a futuristic approach to dealing with all the headaches surrounding high-data transfer, large-volume relational content. As more is written about the technology and as its implementation is discussed, it goes without saying that related components are becoming increasingly more interesting as well. Read more
GraphQL is a powerful tool that we’ve discussed previously at Nordic APIs. As with any emergent tool in the API space, however, there’s some disagreement on exactly how to implement it, and what the best practices for its implementation and use case scenarios are. Read more
GraphQL is incredibly powerful — so powerful, in fact, that it is used by corporations such as Facebook to drive their large, complex social systems for billions of users. Despite this, the language is still relatively nascent, and its usage has yet to reach the dizzying heights that those languages it replaces and augments occupy. Read more