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Celery
Celery

874
523
+ 1
239
Mosquitto
Mosquitto

27
20
+ 1
2
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Celery vs Mosquitto: 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; Mosquitto: An open source message broker that implements the MQTT protocol. It is lightweight and is suitable for use on all devices from low power single board computers to full servers.. The MQTT protocol provides a lightweight method of carrying out messaging using a publish/subscribe model. This makes it suitable for Internet of Things messaging such as with low power sensors or mobile devices such as phones, embedded computers or microcontrollers.

Celery and Mosquitto can be primarily classified as "Message Queue" tools.

Celery is an open source tool with 12.9K GitHub stars and 3.33K GitHub forks. Here's a link to Celery's open source repository on GitHub.

Udemy, Sentry, and Postmates are some of the popular companies that use Celery, whereas Mosquitto is used by Teleolabs, Xanview Ltd, and Future Corporation. Celery has a broader approval, being mentioned in 272 company stacks & 77 developers stacks; compared to Mosquitto, which is listed in 3 company stacks and 3 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 Mosquitto?

It is lightweight and is suitable for use on all devices from low power single board computers to full servers.. The MQTT protocol provides a lightweight method of carrying out messaging using a publish/subscribe model. This makes it suitable for Internet of Things messaging such as with low power sensors or mobile devices such as phones, embedded computers or microcontrollers.
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    What tools integrate with Celery?
    What tools integrate with Mosquitto?
      No integrations found
      What are some alternatives to Celery and Mosquitto?
      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 Mosquitto
      James Cunningham
      James Cunningham
      Operations Engineer at Sentry · | 18 upvotes · 81K 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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      Reviews of Celery and Mosquitto
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      How developers use Celery and Mosquitto
      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.

      How much does Celery cost?
      How much does Mosquitto cost?
      Pricing unavailable
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