Query-Defined Infrastructure with Firebase Data Connect
Blog post from Firebase
Firebase Data Connect, now renamed SQL Connect, introduces Query-Defined Infrastructure, a development approach that combines PostgreSQL, declarative data modeling, GraphQL queries, generated APIs, and type-safe client SDKs within the Firebase ecosystem. Unlike Firebase Realtime Database and Firestore, which allow clients to access databases subject to configurable security rules, SQL Connect generates secure server endpoints from a defined schema and a fixed set of application queries. The product aims to reduce repetitive work in traditional three-tier applications, where developers separately implement database schemas, server logic, APIs, authorization, and client-side types, while avoiding tradeoffs associated with backend-as-a-service systems and server-side web metaframeworks. Developers define relational models and authorized GraphQL operations, and SQL Connect creates PostgreSQL schemas and migrations, SQL queries, managed endpoints, authentication policies, and SDKs for web, iOS, and Android. By allowing untrusted clients to execute only pre-registered operations, the platform seeks to offer the rapid iteration of a unified backend service with the control, security, and maintainability of a dedicated application tier.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Observability | 2 | 1,046 | 231 | 92 | -25% |
| Developer Experience | 1 | 417 | 202 | 96 | +45% |
| Real-time | 1 | 2,372 | 655 | 216 | -5% |
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