firebase-data-connect

To build a relational backend for Firebase apps, you use a schema-driven approach with PostgreSQL and GraphQL to define data types, manage relations, and auto-generate data access patterns. This enables server-side deployment across web and mobile platforms.

Automatic SDK generation for Firebase Data Connect produces type-safe SDKs for web, Android, iOS, and Flutter directly from your GraphQL schema. This accelerates client development by providing generated code matching your defined data operations.

Yes, you need access to a PostgreSQL database and a Cloud SQL instance to set up the service. Configuring dataconnect.yaml and connector.yaml is also required to deploy, migrate, and run emulators locally for your backend.

You implement authorization and data masking in a GraphQL backend by integrating @auth, @check, and @redact directives. This provides robust access control and secures your relational data services.

The best way to deploy and migrate a Firebase PostgreSQL schema is using dataconnect.yaml and connector.yaml configurations. These files manage your deployment workflows and allow you to run emulators locally for development.

Yes, you can define GraphQL types with the @table directive to manage relations automatically. This schema-driven backend design auto-generates data access patterns, simplifying relational data modeling for your Firebase apps.