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Celery
Celery

878
524
+ 1
239
Apache RocketMQ
Apache RocketMQ

9
16
+ 1
4
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Celery vs Apache RocketMQ: What are the differences?

What is 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.

What is Apache RocketMQ? Open source distributed messaging and streaming data platform. Apache RocketMQ is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability.

Celery and Apache RocketMQ belong to "Message Queue" category of the tech stack.

Celery and Apache RocketMQ are both open source tools. It seems that Celery with 12.9K GitHub stars and 3.33K forks on GitHub has more adoption than Apache RocketMQ with 8.25K GitHub stars and 4.23K GitHub forks.

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 Apache RocketMQ?

Apache RocketMQ is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability.
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    What tools integrate with Celery?
    What tools integrate with Apache RocketMQ?
    What are some alternatives to Celery and Apache RocketMQ?
    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.
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    Decisions about Celery and Apache RocketMQ
    James Cunningham
    James Cunningham
    Operations Engineer at Sentry · | 18 upvotes · 84.6K 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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    How developers use Celery and Apache RocketMQ
    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.

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    How much does Apache RocketMQ cost?
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