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title: Introducing Firebase Queue | daily.dev
description: Firebase Queue is a new fault-tolerant, multi-worker job pipeline built on Firebase, aimed at developers running Node servers alongside Firebase for background...
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> Use this file to discover all available pages before exploring further.

# Introducing Firebase Queue

**[Firebase](https://daily.dev/sources/firebase-blog)** · 3 min read · 0 upvotes · 0 comments

## Summary

Firebase Queue is a new fault-tolerant, multi-worker job pipeline built on Firebase, aimed at developers running Node servers alongside Firebase for background processing, third-party API integration, or advanced auth. Tasks are pushed to a /queue/tasks path in Firebase and picked up by workers via a processing function that reports progress, resolves, or rejects jobs. Firebase itself already uses it in its private backups feature, handling hundreds of jobs daily across multiple machines. The post walks through creating a queue, the data structure stored in Firebase, and how to add tasks from multiple client platforms (Node, Java, Objective-C, Swift, REST).

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://firebase.blog/posts/2015/05/introducing-firebase-queue_97>

## Questions this post answers

### How do I create a background job queue using Firebase and Node.js?

Use the firebase-queue npm package alongside firebase to create a Queue instance, passing a Firebase reference and a processing function. The function receives data, progress, resolve, and reject parameters: call progress(n) to report 0-100 status, resolve() to mark the task complete, or reject() to report an error, allowing the worker to move to the next task.

_daily.dev surfaces practical Node.js backend patterns like queue-based job processing as you build._

### Where does Firebase Queue store task data and state?

Task data is stored under a /queue/tasks path in the Firebase database and removed once the job completes. Each task includes metadata fields like _owner (the worker process handling it), _progress (0-100), _state (in_progress, error, or finished), and _state_changed (a timestamp), alongside the original task data pushed by the client.

_Developers wiring up job pipelines can track tooling changes like this on daily.dev._

### How can multiple client platforms add a task to a Firebase-backed job queue?

Tasks can be pushed to the /queue/tasks location using any Firebase client SDK (Node, Java, Objective-C, Swift) or the REST API via a simple POST request with a JSON body. Any workers listening at that path automatically pick up and process the new job as soon as it's written.

_daily.dev helps developers comparing job queue approaches across client platforms stay informed._

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---

Tags: [#nodejs](https://daily.dev/tags/nodejs), [#backend](https://daily.dev/tags/backend), [#firebase](https://daily.dev/tags/firebase)

[View this post on daily.dev](https://daily.dev/posts/introducing-firebase-queue-h3xuyklvd)

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