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Pros of RabbitMQ
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Pros of RabbitMQ
- It's fast and it works with good metrics/monitoring234
- Ease of configuration79
- I like the admin interface59
- Easy to set-up and start with50
- Durable21
- Intuitive work through python18
- Standard protocols18
- Written primarily in Erlang10
- Simply superb8
- Completeness of messaging patterns6
- Scales to 1 million messages per second3
- Reliable3
- Distributed2
- Supports MQTT2
- Better than most traditional queue based message broker2
- Supports AMQP2
- Clusterable1
- Clear documentation with different scripting language1
- Great ui1
- Inubit Integration1
- Better routing system1
- High performance1
- Runs on Open Telecom Platform1
- Delayed messages1
- Reliability1
- Open-source1
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Cons of CloudKarafka
Cons of DistributedLog
Cons of RabbitMQ
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Cons of RabbitMQ
- Too complicated cluster/HA config and management9
- Needs Erlang runtime. Need ops good with Erlang runtime6
- Configuration must be done first, not by your code5
- Slow4
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What is CloudKarafka?
CloudKarafka automates every part of setup, running and scaling of Apache Kafka. CloudKarafka offers hosted publish-subscribe messaging systems in the cloud. With the ease of CloudKarafka you have a fully managed Kafka cluster up and running within two minutes, including a managed internal Zookeeper cluster on all nodes.
What is DistributedLog?
DistributedLog (DL) is a high-performance, replicated log service, offering durability, replication and strong consistency as essentials for building reliable distributed systems.
What is RabbitMQ?
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
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What companies use CloudKarafka?
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What tools integrate with CloudKarafka?
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What tools integrate with RabbitMQ?
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What are some alternatives to CloudKarafka, DistributedLog, and RabbitMQ?
Confluent
It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Amazon Managed Streaming for Kafka
With Amazon MSK, you can use Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications. Amazon Managed Streaming for Kafka makes it easy for you to build and run production applications on Apache Kafka without needing Apache Kafka infrastructure management expertise.
Apache Kafka on Heroku
Apache Kafka is a distributed commit log for fast, fault-tolerant communication between producers and consumers using message based topics. Kafka provides the messaging backbone for building a new generation of distributed applications capable of handling billions of events and millions of transactions.
Aiven for Apache Kafka
It is a fully managed streaming platform, deployable in the cloud of your choice. Snap it into your existing workflows with the click of a button, automate away the mundane tasks, and focus on building your core apps.