Is HyperGraphQL the linked data extension for GraphQL we’ve been waiting for?
Data, in many ways, is the driving force behind much of what the information technology industry does to innovate. Each choice is informed largely by one’s ability to find data, secure that data, and then form relationships within a web of unconnected points. Read more
SQL is old — about 40 years old, in fact. In the tech world, where a new framework or language pops up seemingly every day, 40 years feels downright archaic. Why is such an old language relevant to building APIs in 2018? Read more
In a speech at the 2016 GraphQL Summit, Lee Byron of GraphQL/Facebook put forward a “Secret Master Plan” outlining his hopes for GraphQL, the growing API standard.
In an ideal world, he said, he hoped that GraphQL adoption would look something like this:
- 1–3 months – Hobbyists and personal projects
- 6 months – Implemented in 3+ languages
- 9–12 months – New startups and small companies
- 1.5–2 years – Medium sized companies and products
- 2 years – Implemented in 10+ languages (actually took ~3 months)
- 2–4 years – Large companies and tech giants
- 4–5 years – Ubiquity!
Today, new application development leans towards microservices and serverless approaches. With this paradigm shift, the weaknesses of traditional RESTful API approaches began to show. GraphQL was developed in response to the problems of a typical REST API, but requires a fair amount of configuration to get it running server-side. Read more This post is included in our eBook on GraphQL. Download a free copy here!
We’ve talked about GraphQL at length previously, and for very good reason – GraphQL is, in many ways, one of the more powerful tools an API provider has in terms of providing singular endpoints to the consumer and controlling data flow. Read more