ActiveMQ vs Celery vs Starling

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ActiveMQ
ActiveMQ

234
316
+ 1
54
Celery
Celery

942
592
+ 1
239
Starling
Starling

3
5
+ 1
0

What is 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.

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 Starling?

Starling is a powerful but simple messaging server that enables reliable distributed queuing with an absolutely minimal overhead. It speaks the MemCache protocol for maximum cross-platform compatibility. Any language that speaks MemCache can take advantage of Starling's queue facilities.
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          What are some alternatives to ActiveMQ, Celery, and Starling?
          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.
          Apollo
          Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
          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.
          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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          How developers use ActiveMQ, Celery, and Starling
          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 Casey Smith
          Casey Smith uses ActiveMQActiveMQ

          Remote broker and local client for incoming data feeds. Local broker for republishing data feeds to other systems.

          How much does ActiveMQ cost?
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