Kafka vs. Gearman vs. Kestrel
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Hacker News, Reddit, Stack Overflow Stats |
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GitHub Stats |
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Description |
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.
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What is 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.
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What is Kestrel?Kestrel is based on Blaine Cook's "starling" simple, distributed message queue, with added features and bulletproofing, as well as the scalability offered by actors and the JVM.
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Want advice about which of these to choose?Ask the StackShare community! |
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Pros |
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Cons |
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Companies |
What companies use Kafka?
572 companies on StackShare use Kafka
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What companies use Gearman?
26 companies on StackShare use Gearman
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What companies use Kestrel?
4 companies on StackShare use Kestrel
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Integrations |
What tools integrate with Kafka?
26 tools on StackShare integrate with Kafka
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What tools integrate with Gearman?
2 tools on StackShare integrate with Gearman
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No integrations listed yet
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What are some alternatives to Kafka, Gearman, and Kestrel?
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Latest News |
Spring Messaging Projects Maintenance Releases - Int...
January 29, 2018
Containerizing a Data Ingest Pipeline: Making the JV...
January 29, 2018
Kafka Streams on Heroku
December 19, 2017
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Related Comparisons
Interest Over Time
Reviews of Kafka, Gearman, and Kestrel
How developers use Kafka vs Gearman vs Kestrel
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Pinterest uses Kafka
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.
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opening.io uses Gearman
Internal, distributed message queue. Main communication happens via port 4730 and consists of simple json messages. Completely independent of the main website back-end.
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Coolfront Technologies uses Kafka
Building out real-time streaming server to present data insights to Coolfront Mobile customers and internal sales and marketing teams.
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