Auto Resolvers

Auto Resolvers

Automagic Generation of Instant GraphQL API Schemas and Resolvers.

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Guarantee your GraphQL will always work with Devii’s Auto Resolvers

Auto-generate resolvers without the time suck. Deploy releases faster with instant, robust resolvers that handle the complex fetch requests with ease including filters, joins, sorting, pagination, and mutations.

Skip handwriting query and mutation resolvers.

Flexibility beyond automation.

  • For each exported table or view, Devii generates a graphQL type for querying along with a resolver function that automatically handles joins, filtering, sorting, and pagination.
  • For each exported database function, Devii generates a resolver function that acts as a wrapper for the internal database function it calls. (Yes, it is the same signature!)
  • For tables, Devii creates an input type and a mutation resolver for each allowed mutation of that table.
  • There’s more! When adding a new table, view, or exported function, users will immediately see the new types and resolvers after re-introspection of the GraphQL schema via the Instant API Engine.

Remove the API dev bottleneck for your frontend developers.

Empower your developers to configure, manage, and publish GraphQL APIs without requiring expertise in handwriting every resolver. As soon as the introspection is done, frontend developers can start making GraphQL queries and mutations. 

Go beyond standard GraphQL APIs with sophisticated, auto-generated query resolvers that provide a powerful expression language for filtering.

Remove human error.

Speed up your app release cycles without risk. Eliminate the manual toil spent developing each query or mutation, testing every resolver, and performing regression tests. 

Focus on feature development while Devii securely creates and utilizes resolvers to fetch the data you need. 

The most powerful SQL-based Relational Databases are supported right out of the box.

Use automatic resolvers on popular databases including PostgreSQL, Amazon Aurora, Yugabyte, MySQL/MariaDB, Microsoft SQL Server, Azure SQL, and Oracle DB.

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