Kafka vs. IronMQ vs. Kafka Manager
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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 IronMQ?An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.
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What is Kafka Manager?This interface makes it easier to identify topics which are unevenly distributed across the cluster or have partition leaders unevenly distributed across the cluster. It supports management of multiple clusters, preferred replica election, replica re-assignment, and topic creation. It is also great for getting a quick bird’s eye view of the cluster.
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Pros |
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Cons |
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Pricing |
How much does Kafka cost?
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How much does IronMQ cost?
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How much does Kafka Manager cost?
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Companies |
What companies use Kafka?
367 companies on StackShare use Kafka
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What companies use IronMQ?
11 companies on StackShare use IronMQ
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What companies use Kafka Manager?
7 companies on StackShare use Kafka Manager
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Integrations |
What tools integrate with Kafka?
23 tools on StackShare integrate with Kafka
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What tools integrate with IronMQ?
10 tools on StackShare integrate with IronMQ
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What tools integrate with Kafka Manager?
1 tools on StackShare integrate with Kafka Manager
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What are some alternatives to Kafka, IronMQ, and Kafka Manager?
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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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Reviews of Kafka, IronMQ, and Kafka Manager
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umuroConnecting different Infrastructures
June 03, 2015 17:33
I deploy to Heroku. However, my applications require full linux applications that cannot be deployed to Heroku. I deploy them to Rackspace.
Then Heroku and Rackspace communicate over IronMQ. Problem solved.
Ease of Use Documentation Reliability Support
How developers use Kafka vs IronMQ vs Kafka Manager
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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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