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Beanstalkd
Beanstalkd

78
57
+ 1
65
Celery
Celery

889
532
+ 1
239
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Beanstalkd vs Celery: What are the differences?

What is Beanstalkd? A simple, fast work queue. Beanstalks's interface is generic, but was originally designed for reducing the latency of page views in high-volume web applications by running time-consuming tasks asynchronously.

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.

Beanstalkd belongs to "Background Processing" category of the tech stack, while Celery can be primarily classified under "Message Queue".

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

Beanstalkd and Celery are both open source tools. It seems that Celery with 12.9K GitHub stars and 3.33K forks on GitHub has more adoption than Beanstalkd with 5.12K GitHub stars and 748 GitHub forks.

Udemy, Sentry, and Postmates are some of the popular companies that use Celery, whereas Beanstalkd is used by Douban, Rollbar, and Vigil. Celery has a broader approval, being mentioned in 272 company stacks & 77 developers stacks; compared to Beanstalkd, which is listed in 27 company stacks and 8 developer stacks.

What is Beanstalkd?

Beanstalks's interface is generic, but was originally designed for reducing the latency of page views in high-volume web applications by running time-consuming tasks asynchronously.

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.
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    What tools integrate with Beanstalkd?
    What tools integrate with Celery?
      No integrations found
      What are some alternatives to Beanstalkd and Celery?
      RabbitMQ
      RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
      Redis
      Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
      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.
      Kafka
      Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
      Gearman
      Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.
      See all alternatives
      Decisions about Beanstalkd and Celery
      James Cunningham
      James Cunningham
      Operations Engineer at Sentry · | 18 upvotes · 110.4K 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

      See more
      Michael Mota
      Michael Mota
      CEO & Founder at AlterEstate · | 4 upvotes · 10.9K views
      atAlterEstateAlterEstate
      Django
      Django
      RabbitMQ
      RabbitMQ
      Celery
      Celery

      Automations are what makes a CRM powerful. With Celery and RabbitMQ we've been able to make powerful automations that truly works for our clients. Such as for example, automatic daily reports, reminders for their activities, important notifications regarding their client activities and actions on the website and more.

      We use Celery basically for everything that needs to be scheduled for the future, and using RabbitMQ as our Queue-broker is amazing since it fully integrates with Django and Celery storing on our database results of the tasks done so we can see if anything fails immediately.

      See more
      Interest over time
      Reviews of Beanstalkd and Celery
      No reviews found
      How developers use Beanstalkd and Celery
      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 Snaplytics
      Snaplytics uses BeanstalkdBeanstalkd

      Beanstalkd is used as a job/task queue

      Avatar of Roy Olsen
      Roy Olsen uses BeanstalkdBeanstalkd

      Message and task queue

      How much does Beanstalkd cost?
      How much does Celery cost?
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