Generally, these resolver functions should delegate to a business logic layer responsible for communicating with the various underlying data sources. GraphQL coordinates and aggregates the data from these resolver functions, then returns the result to the client. Accessing and manipulating data is performed with arbitrary functions called resolvers. Unlike SQL, GraphQL is agnostic to the data source(s) used to retrieve data and persist changes. GraphQL is a specification typically used for remote client-server communications. Is GraphQL a database language like SQL? # This can be done by masking your REST endpoint into a GraphQL endpoint using root resolvers.įor an opinionated perspective on how GraphQL compares to REST, check out How To GraphQL. For example, you can abstract REST APIs behind a GraphQL server. GraphQL and REST can actually co-exist in your stack. GraphQL is often considered an alternative to REST, but it’s not a definitive replacement. They both handle APIs and can serve similar purposes from a business perspective. We recommend focusing on one use case at first and only building the part of the schema needed for that. Your GraphQL schema and business domain model can expand gradually. For instance, starting with a single HTTP request that wraps an existing REST call. You can try out GraphQL without rewriting your entire application. Our homepage outlines even more reasons to use GraphQL. Access to a powerful tooling ecosystem with GUIs, editor integrations, code generation, linting, analytics, and more.Reduce the need for breaking changes, but utilize a built-in mechanism for deprecations when you need to.Ensure that all of your data is statically typed and these types inform what queries the schema supports.Create a representation of your data that feels familiar and natural ( a graph).Aggregate data from multiple UI components.It depends on your use case, but in general, GraphQL has a few key features that stand out.
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