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Kafka vs activemq, I'm search chica activemq wants Kafka

The author of the ebook has lots of past expertise with ActiveMQ and Camel and recently started working on the Kafka project. The ebook gives his perspectives on both these message brokers, by discussing each one in turn:.

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Communication between Microservices is very important. We cannot afford to lose even a single message in the communications. Hence, we had two different Communication methods for microservices.

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By Priya Pedamkar. Apache ActiveMQ is an open-source, multi-protocol, Java-based messaging server. In this topic, we are going to learn about ActiveMQ vs Kafka.

What is apache kafka?

On the other hand, Apache Kafka is an open-source stream-processing software developed by LinkedIn and later donated to Apache to effectively manage their growing data and switch to real-time processing from batch-processing. It is written in Scala and Java and based on the publish-subscribe model of messaging.

Kafka is a distributed streaming platform that offers high horizontal scalability.

ActiveMQ is a general-purpose messaging solution that supports various messaging protocols. Kafka is way faster than ActiveMQ. It can handle millions of messages per sec. ActiveMQ guarantees that a message will be delivered, but with Kafka, there is a probability however low it is that a message might not get delivered. Duplicate message delivery in Kafka can happen in the following scenario:. In Kafka, a message is basically a key-value pair.

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The payload of the message is the value. Key, on the other hand, is generally used for partitioning purposes and must contain a business-specific key in order to place related messages on the same partition.

In ActiveMQ, the message consists of metadata headers and properties and body which is the payload. It uses TransactionStore to handle transactions. It maintains the delivery state of every message resulting in lower throughput.

It cannot ensure that messages are received in the same order they were sent. It can ensure that messages are received in the order they were sent at the partition level.

There is something called JMS API message selector, which allows a consumer to specify the messages it is interested in. So, the work of filtering messages is upto the JMS and not the applications.

The filtering has to be done by the consumers or by the applications. It is a push-type messaging platform where the providers push the messages to the consumers.

It is a pull-type messaging platform where the consumers pull the messages from the brokers. It is not possible to scale horizontally.

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There is also no concept of replication. It is highly scalable. Due to replications of partitions, it offers higher availability too. The performance of both queue and topic degrades as the of consumers rises.

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It includes checksums to detect corruption of messages in storage and has a comprehensive set of security features. A company will go for Kafka if it has to process a huge amount of data in real-time and can bear message loss to some extent. Whereas, ActiveMQ would be the proper choice if it cares about one-time delivery and messages are valuable like in financial transactions. This is a guide to ActiveMQ vs Kafka.

Here we discuss the key differences with infographics and comparison table. You may also have a look at the following articles to learn more —. Submit Next Question.

Introduction to activemq and kafka

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The benefits of using kafka vs. amqp or jms

Free Data Science Course. details for this Free course will be ed to you. ID. Contact No. It is a traditional messaging system that deals with a small amount of data. It is a distributed system meant for processing huge amount of data. It has transaction support. So, brokers can write messages at a very high rate resulting in higher throughput.