ActiveMQ vs Kafka vs Starling

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ActiveMQ
ActiveMQ

239
325
+ 1
54
Kafka
Kafka

4.4K
3.8K
+ 1
478
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 Kafka?

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

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, Kafka, 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.
          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.
          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.
          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 ActiveMQ, Kafka, and Starling
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          How developers use ActiveMQ, Kafka, and Starling
          Avatar of Pinterest
          Pinterest uses KafkaKafka

          http://media.tumblr.com/d319bd2624d20c8a81f77127d3c878d0/tumblr_inline_nanyv6GCKl1s1gqll.png

          Front-end messages are logged to Kafka by our API and application servers. We have batch processing (on the middle-left) and real-time processing (on the middle-right) pipelines to process the experiment data. For batch processing, after daily raw log get to s3, we start our nightly experiment workflow to figure out experiment users groups and experiment metrics. We use our in-house workflow management system Pinball to manage the dependencies of all these MapReduce jobs.

          Avatar of Coolfront Technologies
          Coolfront Technologies uses KafkaKafka

          Building out real-time streaming server to present data insights to Coolfront Mobile customers and internal sales and marketing teams.

          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.

          Avatar of ShareThis
          ShareThis uses KafkaKafka

          We are using Kafka as a message queue to process our widget logs.

          Avatar of Christopher Davison
          Christopher Davison uses KafkaKafka

          Used for communications and triggering jobs across ETL systems

          Avatar of theskyinflames
          theskyinflames uses KafkaKafka

          Used as a integration middleware by messaging interchanging.

          How much does ActiveMQ cost?
          How much does Kafka cost?
          How much does Starling cost?
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