These libraries enable Node.js applications to handle background tasks, scheduled jobs, and heavy processing without blocking the main event loop. They provide structures for defining work, storing job state, and retrying failed tasks. While some rely on Redis for fast in-memory storage, others use MongoDB for durability or worker threads for local execution. Choosing the right tool depends on your infrastructure, reliability needs, and whether you require distributed processing or simple local scheduling.
Handling background tasks is a common requirement in modern web applications. Whether you are sending emails, processing images, or running scheduled maintenance, you need a reliable way to manage work without blocking your main server. The packages agenda, bee-queue, bree, bull, kue, and node-resque all solve this problem, but they use different storage engines and architectural patterns. Let's compare how they handle job definition, execution, and storage.
The underlying storage determines how jobs survive server restarts and how multiple servers share work.
bull and bee-queue rely on Redis.
// bull: Redis connection
const Queue = require('bull');
const queue = new Queue('email', 'redis://127.0.0.1:6379');
// bee-queue: Redis connection
const Queue = require('bee-queue');
const queue = new Queue('email', { redis: { host: '127.0.0.1', port: 6379 } });
agenda uses MongoDB.
// agenda: MongoDB connection
const Agenda = require('agenda');
const agenda = new Agenda({ db: { address: 'mongodb://127.0.0.1:27017/agenda' } });
bree uses Worker Threads locally.
// bree: Local configuration
const Bree = require('bree');
const bree = new Bree({
jobs: [
{ name: 'daily-cleanup', interval: '0 0 * * *', path: './jobs/cleanup.js' }
]
});
kue and node-resque also use Redis.
kue is no longer maintained, so new projects should avoid it.// kue: Redis connection (Legacy)
const kue = require('kue');
const queue = kue.createQueue();
// node-resque: Redis connection
const { Queue, Worker } = require('node-resque');
const queue = new Queue({ connection: { host: '127.0.0.1', port: 6379 } });
Each library has a different way to define what work needs to be done and how to run it.
bull separates job addition from processing.
// bull: Process jobs
queue.process('send-email', async (job) => {
await sendEmail(job.data.to);
});
// bull: Add job
queue.add('send-email', { to: '[email protected]' });
agenda defines jobs by name and schedules them.
// agenda: Define job
agenda.define('send-email', async (job) => {
await sendEmail(job.attrs.data.to);
});
// agenda: Schedule job
agenda.now('send-email', { to: '[email protected]' });
bee-queue is similar to Bull but with a simpler API.
// bee-queue: Process jobs
queue.process(async (job) => {
await sendEmail(job.data.to);
});
// bee-queue: Create job
const job = queue.createJob({ to: '[email protected]' });
await job.save();
bree uses file-based jobs.
// bree: Job file (jobs/cleanup.js)
module.exports = async (config) => {
await cleanupDatabase();
};
// bree: Start manager
await bree.start();
kue uses a creation chain pattern.
// kue: Create job (Legacy)
const job = queue.create('send-email', { to: '[email protected]' });
job.save();
// kue: Process
queue.process('send-email', (job, done) => {
sendEmail(job.data.to, done);
});
node-resque follows the classic Resque model.
// node-resque: Perform method
class SendEmail {
async perform(to) {
await sendEmail(to);
}
}
// node-resque: Enqueue
await queue.enqueue('high', 'SendEmail', ['[email protected]']);
Some libraries handle cron jobs and delayed tasks better than others.
agenda excels at scheduling.
every, schedule, and cron patterns.// agenda: Recurring job
agenda.every('10 minutes', 'clear-cache');
agenda.schedule('in 2 hours', 'send-reminder', { userId: 123 });
bull supports delays and repeats.
// bull: Delayed job
queue.add('notify', { id: 1 }, { delay: 5000 });
// bull: Repeated job
queue.add('report', {}, { repeat: { cron: '0 0 * * *' } });
bree is built for cron-style jobs.
// bree: Cron config
const bree = new Bree({
jobs: [
{ name: 'backup', cron: '0 0 * * *', path: './jobs/backup.js' }
]
});
bee-queue, kue, and node-resque have limited scheduling.
node-cron) to add jobs at specific times.// bee-queue: Delay only
const job = queue.createJob({}).delay(5000);
await job.save();
// kue: Delay only
queue.create('task', {}).delay(5000).save();
Choosing a library also means choosing its long-term support.
bull and agenda are actively maintained.
bree is maintained and focused on simplicity.
bee-queue has slower maintenance cycles.
kue is deprecated.
node-resque is stable but legacy.
bull more aligned with modern Node.js practices.| Feature | bull | agenda | bree | bee-queue | kue | node-resque |
|---|---|---|---|---|---|---|
| Storage | Redis | MongoDB | Local/Threads | Redis | Redis | Redis |
| Scheduling | Built-in | Built-in | Built-in | Limited | Limited | Limited |
| Status | Active | Active | Active | Stable | Deprecated | Stable |
| Complexity | Medium | Medium | Low | Low | High | Medium |
| Best For | Distributed | Persistence | Cron/Local | Simplicity | Legacy | Ruby Migration |
bull is the safe bet for most distributed Node.js applications. It balances features, performance, and community support. If you need heavy scheduling and already use MongoDB, agenda is a strong contender. For simple cron jobs on a single server, bree removes the need for Redis entirely.
Avoid kue in new projects due to its deprecated status. Use node-resque only if you need compatibility with existing Resque infrastructure. For lightweight Redis needs where Bull feels too heavy, bee-queue remains an option, but verify its maintenance fits your risk tolerance.
Final Thought: The best queue is the one that matches your infrastructure. If you have Redis, use Bull. If you have Mongo, use Agenda. If you have neither, use Bree.
Choose bull if you need a mature, feature-rich queue system backed by Redis. It supports priorities, retries, delays, and event listeners out of the box. It is the standard choice for distributed systems requiring high reliability and concurrency, though you should also evaluate BullMQ for modern Redis Stream support.
Choose agenda if your stack already uses MongoDB and you need robust scheduling features like cron jobs or recurring tasks. It stores job data in Mongo collections, making it easy to query and inspect jobs using standard database tools. It is well-suited for applications that prioritize data persistence over raw throughput.
Choose bee-queue if you need a lightweight, Redis-based queue with a focus on simplicity and performance. It has a smaller footprint than Bull and avoids complex Lua scripts. It is a good fit for projects that want Redis storage without the heavier feature set of Bull, though maintenance activity is slower.
Do not choose kue for new projects. It is deprecated and no longer maintained. While it was popular historically for its Redis backend and UI, it lacks modern security updates and bug fixes. Existing projects should plan migration to bull or agenda.
Choose node-resque if you are migrating from a Ruby on Rails Resque background job system and want to maintain compatibility. It follows the classic Resque pattern strictly. It is stable but less feature-rich than Bull for modern Node.js specific workflows.
Choose bree if you need to run cron jobs or scheduled tasks using worker threads within a single Node.js process. It is designed for simplicity and does not require Redis or MongoDB. It is ideal for single-server deployments where you want to isolate jobs in separate threads to avoid blocking the main loop.
The fastest, most reliable, Redis-based queue for Node.
Carefully written for rock solid stability and atomicity.
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| Dragonfly is a new Redis™ drop-in replacement that is fully compatible with BullMQ and brings some important advantages over Redis™ such as massive better performance by utilizing all CPU cores available and faster and more memory efficient data structures. Read more here on how to use it with BullMQ. |
Bull is currently in maintenance mode, we are only fixing bugs. For new features check BullMQ, a modern rewritten implementation in Typescript. You are still very welcome to use Bull if it suits your needs, which is a safe, battle tested library.
Follow me on Twitter for other important news and updates.
You can find tutorials and news in this blog: https://blog.taskforce.sh/
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And coming up on the roadmap...
There are a few third-party UIs that you can use for monitoring:
BullMQ
Bull v3
Bull <= v2
Since there are a few job queue solutions, here is a table comparing them:
| Feature | BullMQ-Pro | BullMQ | Bull | Kue | Bee | Agenda |
|---|---|---|---|---|---|---|
| Backend | redis | redis | redis | redis | redis | mongo |
| Observables | ✓ | |||||
| Group Rate Limit | ✓ | |||||
| Group Support | ✓ | |||||
| Batches Support | ✓ | |||||
| Parent/Child Dependencies | ✓ | ✓ | ||||
| Priorities | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Concurrency | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Delayed jobs | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Global events | ✓ | ✓ | ✓ | ✓ | ||
| Rate Limiter | ✓ | ✓ | ✓ | |||
| Pause/Resume | ✓ | ✓ | ✓ | ✓ | ||
| Sandboxed worker | ✓ | ✓ | ✓ | |||
| Repeatable jobs | ✓ | ✓ | ✓ | ✓ | ||
| Atomic ops | ✓ | ✓ | ✓ | ✓ | ||
| Persistence | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| UI | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Optimized for | Jobs / Messages | Jobs / Messages | Jobs / Messages | Jobs | Messages | Jobs |
npm install bull --save
or
yarn add bull
Requirements: Bull requires a Redis version greater than or equal to 2.8.18.
npm install @types/bull --save-dev
yarn add --dev @types/bull
Definitions are currently maintained in the DefinitelyTyped repo.
We welcome all types of contributions, either code fixes, new features or doc improvements. Code formatting is enforced by prettier. For commits please follow conventional commits convention. All code must pass lint rules and test suites before it can be merged into develop.
const Queue = require('bull');
const videoQueue = new Queue('video transcoding', 'redis://127.0.0.1:6379');
const audioQueue = new Queue('audio transcoding', { redis: { port: 6379, host: '127.0.0.1', password: 'foobared' } }); // Specify Redis connection using object
const imageQueue = new Queue('image transcoding');
const pdfQueue = new Queue('pdf transcoding');
videoQueue.process(function (job, done) {
// job.data contains the custom data passed when the job was created
// job.id contains id of this job.
// transcode video asynchronously and report progress
job.progress(42);
// call done when finished
done();
// or give an error if error
done(new Error('error transcoding'));
// or pass it a result
done(null, { framerate: 29.5 /* etc... */ });
// If the job throws an unhandled exception it is also handled correctly
throw new Error('some unexpected error');
});
audioQueue.process(function (job, done) {
// transcode audio asynchronously and report progress
job.progress(42);
// call done when finished
done();
// or give an error if error
done(new Error('error transcoding'));
// or pass it a result
done(null, { samplerate: 48000 /* etc... */ });
// If the job throws an unhandled exception it is also handled correctly
throw new Error('some unexpected error');
});
imageQueue.process(function (job, done) {
// transcode image asynchronously and report progress
job.progress(42);
// call done when finished
done();
// or give an error if error
done(new Error('error transcoding'));
// or pass it a result
done(null, { width: 1280, height: 720 /* etc... */ });
// If the job throws an unhandled exception it is also handled correctly
throw new Error('some unexpected error');
});
pdfQueue.process(function (job) {
// Processors can also return promises instead of using the done callback
return pdfAsyncProcessor();
});
videoQueue.add({ video: 'http://example.com/video1.mov' });
audioQueue.add({ audio: 'http://example.com/audio1.mp3' });
imageQueue.add({ image: 'http://example.com/image1.tiff' });
Alternatively, you can return promises instead of using the done callback:
videoQueue.process(function (job) { // don't forget to remove the done callback!
// Simply return a promise
return fetchVideo(job.data.url).then(transcodeVideo);
// Handles promise rejection
return Promise.reject(new Error('error transcoding'));
// Passes the value the promise is resolved with to the "completed" event
return Promise.resolve({ framerate: 29.5 /* etc... */ });
// If the job throws an unhandled exception it is also handled correctly
throw new Error('some unexpected error');
// same as
return Promise.reject(new Error('some unexpected error'));
});
The process function can also be run in a separate process. This has several advantages:
In order to use this feature just create a separate file with the processor:
// processor.js
module.exports = function (job) {
// Do some heavy work
return Promise.resolve(result);
}
And define the processor like this:
// Single process:
queue.process('/path/to/my/processor.js');
// You can use concurrency as well:
queue.process(5, '/path/to/my/processor.js');
// and named processors:
queue.process('my processor', 5, '/path/to/my/processor.js');
A job can be added to a queue and processed repeatedly according to a cron specification:
paymentsQueue.process(function (job) {
// Check payments
});
// Repeat payment job once every day at 3:15 (am)
paymentsQueue.add(paymentsData, { repeat: { cron: '15 3 * * *' } });
As a tip, check your expressions here to verify they are correct: cron expression generator
A queue can be paused and resumed globally (pass true to pause processing for
just this worker):
queue.pause().then(function () {
// queue is paused now
});
queue.resume().then(function () {
// queue is resumed now
})
A queue emits some useful events, for example...
.on('completed', function (job, result) {
// Job completed with output result!
})
For more information on events, including the full list of events that are fired, check out the Events reference
Queues are cheap, so if you need many of them just create new ones with different names:
const userJohn = new Queue('john');
const userLisa = new Queue('lisa');
.
.
.
However every queue instance will require new redis connections, check how to reuse connections or you can also use named processors to achieve a similar result.
NOTE: From version 3.2.0 and above it is recommended to use threaded processors instead.
Queues are robust and can be run in parallel in several threads or processes without any risk of hazards or queue corruption. Check this simple example using cluster to parallelize jobs across processes:
const Queue = require('bull');
const cluster = require('cluster');
const numWorkers = 8;
const queue = new Queue('test concurrent queue');
if (cluster.isMaster) {
for (let i = 0; i < numWorkers; i++) {
cluster.fork();
}
cluster.on('online', function (worker) {
// Let's create a few jobs for the queue workers
for (let i = 0; i < 500; i++) {
queue.add({ foo: 'bar' });
};
});
cluster.on('exit', function (worker, code, signal) {
console.log('worker ' + worker.process.pid + ' died');
});
} else {
queue.process(function (job, jobDone) {
console.log('Job done by worker', cluster.worker.id, job.id);
jobDone();
});
}
For the full documentation, check out the reference and common patterns:
If you see anything that could use more docs, please submit a pull request!
The queue aims for an "at least once" working strategy. This means that in some situations, a job could be processed more than once. This mostly happens when a worker fails to keep a lock for a given job during the total duration of the processing.
When a worker is processing a job it will keep the job "locked" so other workers can't process it.
It's important to understand how locking works to prevent your jobs from losing their lock - becoming stalled -
and being restarted as a result. Locking is implemented internally by creating a lock for lockDuration on interval
lockRenewTime (which is usually half lockDuration). If lockDuration elapses before the lock can be renewed,
the job will be considered stalled and is automatically restarted; it will be double processed. This can happen when:
lockDuration setting (with the tradeoff being that it will take longer to recognize a real stalled job).As such, you should always listen for the stalled event and log this to your error monitoring system, as this means your jobs are likely getting double-processed.
As a safeguard so problematic jobs won't get restarted indefinitely (e.g. if the job processor always crashes its Node process), jobs will be recovered from a stalled state a maximum of maxStalledCount times (default: 1).