Distribution
Kafka customers get distributed by way of matter partitions. Every client consumes messages from a selected partition at a time.
There are a selection of customers current for every RabbitMQ queue occasion. These customers are often known as Aggressive customers as they compete with each other for consuming the message. However, the message may be processed simply as soon as.
Excessive Availability
With the assistance of zookeeper, it manages the state of the Kafka cluster and helps excessive availability.
By way of clustering and excessive accessible queues offers high-performance knowledge replication. Thus, RabbitMQ additionally offers excessive availability.
Efficiency
Kafka can course of thousands and thousands of messages in a second with much less variety of the {hardware}.
RabbitMQ may course of thousands and thousands of messages inside a second, but it surely wants extra variety of the {hardware}.
Replication
There are replicated brokers accessible in Kafka, which works when the grasp dealer is down.
Right here, queues should not routinely replicated. The configuration is necessary.
Multi subscriber
A number of client sorts can subscribe to many messages to Kafka.
In RabbitMQ, though messages are routed to numerous queues, just one client from a queue can course of the message.
Message Protocols
Apache Kafka helps primitives akin to int8, int16, and many others. and binary messages.
RabbitMQ helps any commonplace queue protocols akin to STOMP, AMQP, HTTP, and many others.
Message Ordering
In Kafka Message ordering is current contained in the partition solely. It ensures that both all fail or go collectively.
RabbitMQ maintains the order for flows through a single AMQP channel. As well as, it additionally reorders the retransmitted packets inside its queue logic that may stop the patron from resequencing the buffers.
Message lifetime
Kafka accommodates a log file that stops all messages anytime.
Since RabbitMQ is a queue, messages as soon as consumed are eliminated, and the acknowledgment is acquired.
Structure
Extremely scalable pub/sub distributed messaging system. It has brokers, subjects, partitions, and subjects inside the Kafka cluster.
A general-purpose pub/sub message dealer. Its structure varies from Kafka because it consists of queues.
Use Circumstances
Kafka is especially used for streaming the info.
The online servers primarily use RabbitMQ for rapid response to the requests.
Transactions
Kafka helps these transactions that exhibit a read-process-write sample carried out to/from Kafka subjects.
RabbitMQ doesn’t assure atomicity even when the transaction indulges solely a single queue.
Language
Apache Kafka is written in Scala with JVM.
RabbitMQ is written in Erlang.
Routing Help
Kafka helps complicated routing situations.
RabbitMQ doesn’t help complicated routing situations.
Developer Expertise
With excessive development, Kafka led to a great expertise. However, it solely helps Java purchasers.
RabbitMQ carries mature shopper libraries that help Java, PHP, Python, Ruby, and lots of extra.