A powerful query language for APIs, GraphQL has long been appreciated for its data-integration capabilities. GraphQL allows developers to extract pertinent data from their APIs without added fluff. In turn, apps can precisely control what data they get. Whereas traditional RESTful setups rely on server requests, GraphQL assumes control of data retrieval. Read more
Posts Tagged: Apollo
In the world of microservices, an API could reference tens or more services within a single function. This significantly elevated functionality has unfortunately brought with it some greater complexity.
One way to deal with such complexity is schema stitching. Stitching is a robust process that ties many microservices under a single relational network. 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!
With the recent surge of interest in GraphQL, a vibrant new ecosystem of supplementary software has quickly emerged. Open source communities and entrepreneuring startups alike are validating new GraphQL use cases, filling in GraphQL implementation gaps, and enabling more and more developers to adopt GraphQL practices with decreased overhead through the use of some pretty awesome tools. Read more