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title: Introducing Firebase Data Connect | daily.dev
description: Firebase has introduced Data Connect, a new backend-as-a-service built on Cloud SQL Postgres that lets developers define a GraphQL-based schema, queries, and...
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# Introducing Firebase Data Connect

**[Firebase](https://daily.dev/sources/firebase-blog)** · 6 min read · 0 upvotes · 0 comments

## Summary

Firebase has introduced Data Connect, a new backend-as-a-service built on Cloud SQL Postgres that lets developers define a GraphQL-based schema, queries, and mutations to interact with a relational database. It automatically generates typesafe client SDKs for web and mobile apps, supports relational joins and complex conditions, and includes semantic vector search powered by Vertex AI embeddings. The service is currently in a gated preview and not yet ready for production use.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://firebase.blog/posts/2024/05/introducing-firebase-data-connect>

## Questions this post answers

### What is Firebase Data Connect and how does it work?

Firebase Data Connect is a backend-as-a-service powered by a Cloud SQL Postgres database. Developers define a data model using a GraphQL-based schema, then write queries and mutations to interact with the data. Data Connect automatically generates the Postgres DDL, secure API endpoints, and typesafe client SDKs for web and mobile apps, supporting relational joins and complex conditions.

_daily.dev surfaces backend-as-a-service updates like this for developers evaluating new data layers._

### How does Firebase Data Connect implement semantic vector search?

Firebase Data Connect generates vector embeddings by calling a model in Vertex AI, such as textembedding-gecko, automatically on every write operation when a schema field is typed as Vector. Developers can then run similarity queries using an auto-generated naming pattern like moviesDescriptionEmbeddingSimilarity, comparing embeddings to find semantically similar records alongside normal filter conditions.

_developers weighing vector search options can track how services like this evolve on daily.dev._

### Is Firebase Data Connect ready for production use?

No, Firebase Data Connect is not ready for production use. It is available only through a gated preview, with invites rolling out over the following weeks and months after its announcement. Interested developers can join the preview waitlist, watch an introductory video, or read the documentation to learn more before it becomes generally available.

_daily.dev helps developers keep tabs on preview-stage tools before committing production workloads._

## Similar posts on daily.dev

- [Vibe-coded AI Studio apps with Firestore, Firebase, Cloud SQL](https://daily.dev/posts/vibe-coded-ai-studio-apps-with-firestore-firebase-cloud-sql-5faawqfxm) · Google Cloud · 0 upvotes · 0 comments

---

Tags: [#backend](https://daily.dev/tags/backend), [#postgresql](https://daily.dev/tags/postgresql), [#graphql](https://daily.dev/tags/graphql), [#firebase](https://daily.dev/tags/firebase), [#vector-search](https://daily.dev/tags/vector-search)

[View this post on daily.dev](https://daily.dev/posts/introducing-firebase-data-connect-v3nx3i9qk)

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