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Celery
Celery

878
524
+ 1
239
Resque
Resque

85
50
+ 1
8
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Celery vs Resque: What are the differences?

Celery: Distributed task queue. Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well; Resque: A Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later. Background jobs can be any Ruby class or module that responds to perform. Your existing classes can easily be converted to background jobs or you can create new classes specifically to do work. Or, you can do both.

Celery can be classified as a tool in the "Message Queue" category, while Resque is grouped under "Background Processing".

"Task queue" is the primary reason why developers consider Celery over the competitors, whereas "Free" was stated as the key factor in picking Resque.

Celery and Resque are both open source tools. Celery with 12.7K GitHub stars and 3.3K forks on GitHub appears to be more popular than Resque with 8.53K GitHub stars and 1.58K GitHub forks.

Sentry, Ansible, and OpenLabel are some of the popular companies that use Celery, whereas Resque is used by MAK IT, Stitched, and Youboox. Celery has a broader approval, being mentioned in 271 company stacks & 77 developers stacks; compared to Resque, which is listed in 34 company stacks and 8 developer stacks.

What is Celery?

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

What is Resque?

Background jobs can be any Ruby class or module that responds to perform. Your existing classes can easily be converted to background jobs or you can create new classes specifically to do work. Or, you can do both.
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    What tools integrate with Celery?
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    What are some alternatives to Celery and Resque?
    RabbitMQ
    RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
    Kafka
    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
    Amazon SQS
    Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
    ActiveMQ
    Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.
    ZeroMQ
    The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.
    See all alternatives
    Decisions about Celery and Resque
    James Cunningham
    James Cunningham
    Operations Engineer at Sentry · | 18 upvotes · 85.1K views
    atSentrySentry
    RabbitMQ
    RabbitMQ
    Celery
    Celery
    #MessageQueue

    As Sentry runs throughout the day, there are about 50 different offline tasks that we execute—anything from “process this event, pretty please” to “send all of these cool people some emails.” There are some that we execute once a day and some that execute thousands per second.

    Managing this variety requires a reliably high-throughput message-passing technology. We use Celery's RabbitMQ implementation, and we stumbled upon a great feature called Federation that allows us to partition our task queue across any number of RabbitMQ servers and gives us the confidence that, if any single server gets backlogged, others will pitch in and distribute some of the backlogged tasks to their consumers.

    #MessageQueue

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    Interest over time
    Reviews of Celery and Resque
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    How developers use Celery and Resque
    Avatar of Kalibrr
    Kalibrr uses CeleryCelery

    All of our background jobs (e.g., image resizing, file uploading, email and SMS sending) are done through Celery (using Redis as its broker). Celery's scheduling and retrying features are especially useful for error-prone tasks, such as email and SMS sending.

    Avatar of Cloudify
    Cloudify uses CeleryCelery

    For orchestrating the creation of the correct number of instances, managing errors and retries, and finally managing the deallocation of resources we use RabbitMQ in conjunction with the Celery Project framework, along with a self-developed workflow engine.

    Avatar of MOKA Analytics
    MOKA Analytics uses CeleryCelery

    We maintain a fork of Celery 3 that adds HTTPS support for Redis brokers. The Winning Model currently uses Celery 3 because Celery 4 dropped support for Windows.

    We plan on migrating to Celery 4 once Azure ASE supports Linux apps

    Avatar of Yaakov Gesher
    Yaakov Gesher uses CeleryCelery

    We used celery, in combination with RabbitMQ and celery-beat, to run periodic tasks, as well as some user-initiated long-running tasks on the server.

    Avatar of Dieter Adriaenssens
    Dieter Adriaenssens uses CeleryCelery

    Using Celery, the web service creates tasks that are executed by a background worker. Celery uses a RabbitMQ instance as a task queue.

    Avatar of La Cupula Music SL
    La Cupula Music SL uses ResqueResque

    Short term we'll migrate to Sidekiq.

    Avatar of PiggyBike
    PiggyBike uses ResqueResque

    Background syncing of Strava data.

    How much does Celery cost?
    How much does Resque cost?
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