apollo-client

ar/features/cache-up...). If you add a new component that performs a query that could be affected by a previous mutation, you have to remember to also go back to that mutation and update your query from it. With ngrx (or redux), the consistency is baked in, and part of the beauty of it is that if you update the state, anyone who happens to be reading that state will get updated automatically.

rence implementation, and it's probably the safest bet you can make at this moment in an industry as fickle as this. With GraphQL you simply write your schema, define types and relationships, and you’re then able to request data in almost any shape you wish, with very little extra work. This is invaluable during development. If you have a list of recent comments with author names, and later decide to show an avatar alongside the name, you don’t need to write any extra code on the server. You add an extra line to your query (or component’s fragment) on the client. The same goes for any field, any relationship, no matter how complex the resulting shape. If you wanted a comment author’s follower’s comments’ likeCounts, you still don’t need to write another line of server code. This makes it stupidly simple to rapidly prototype new features, try out new layouts, and means you can share a single API endpoint between mobile apps and desktop site without sending useless data to one or both. There have been many occasions when we simply wouldn't have had the time to implement a feature correctly with REST, particularly when we might not even know what data we'll want until we begin developing the feature and get a feel for how it works. It doesn't just save server dev time either. On the client side there are libraries like Apollo[2] and Relay which take care of fetching data, caching, normalization, and you should almost certainly use one (I recommend Apollo) unless you have a good reason not to. Writing fetch calls and managing your store manually is just going to be a huge waste of time. And the spec is more than queries and mutations. It's subscriptions, live queries, and more [3]. Real-time data is a first-class citizen of GraphQL, and the two most popular front-end libraries have official implementations of subscriptions (with live queries in progress). GraphQL is elegant, has a well-designed official spec, great DX and just plain makes sense. But it's really something you need to try out for yourself (preferably on a real project) to see just how great it is. If you’re planning to build something new with REST, seriously, reconsider. There's a slightly higher upfront cost to using GraphQL (particularly if you're new to it), but once you settle into it you'll be glad you did. Useful tools and resources: - GraphiQL[4] - an incredibly useful tool for running queries on your GraphQL API - Graph.cool[5] - BaaS for quickly prototyping a GraphQL API - Apollo Launchpad[6] - Try out GraphQL server code in your browser [1] https://github.com/facebook/dataloader [2] https://github.com/apollographql/apollo-client [3] https://dev-blog.apollodata.com/new-features-in-graphql-batc... [4] https://github.com/graphql/graphiql [5] https://www.graph.cool [6] http://launchpad.graphql.com