This content originally appeared on DEV Community 👩‍💻👨‍💻 and was authored by Rakesh KR
Distribution
Kafka consumers get distributed through topic partitions. Each consumer consumes messages from a specific partition at a time.
There are a number of consumers present for each RabbitMQ queue instance. These consumers are known as Competitive consumers as they compete with one another for consuming the message. But, the message can be processed just once.
High Availability
With the help of zookeeper, it manages the state of the Kafka cluster and supports high availability.
Through clustering and high available queues provides high-performance data replication. Thus, RabbitMQ also provides high availability.
Performance
Kafka can process millions of messages in a second with less number of the hardware.
RabbitMQ can also process millions of messages within a second, but it needs more number of the hardware.
Replication
There are replicated brokers available in Kafka, which works when the master broker is down.
Here, queues are not automatically replicated. The configuration is mandatory.
Multi subscriber
Multiple consumer types can subscribe to many messages to Kafka.
In RabbitMQ, although messages are routed to various queues, only one consumer from a queue can process the message.
Message Protocols
Apache Kafka supports primitives such as int8, int16, etc. and binary messages.
RabbitMQ supports any standard queue protocols such as STOMP, AMQP, HTTP, etc.
Message Ordering
In Kafka Message ordering is present inside the partition only. It guarantees that either all fail or pass together.
RabbitMQ maintains the order for flows via a single AMQP channel. In addition, it also reorders the retransmitted packets inside its queue logic that will prevent the consumer from resequencing the buffers.
Message lifetime
Kafka contains a log file that prevents all messages anytime.
Since RabbitMQ is a queue, messages once consumed are removed, and the acknowledgment is received.
Architecture
Highly scalable pub/sub distributed messaging system. It has brokers, topics, partitions, and topics within the Kafka cluster.
A general-purpose pub/sub message broker. Its architecture varies from Kafka as it consists of queues.
Use Cases
Kafka is mainly used for streaming the data.
The web servers mainly use RabbitMQ for immediate response to the requests.
Transactions
Kafka supports those transactions that exhibit a read-process-write pattern performed to/from Kafka topics.
RabbitMQ does not guarantee atomicity even when the transaction indulges only a single queue.
Language
Apache Kafka is written in Scala with JVM.
RabbitMQ is written in Erlang.
Routing Support
Kafka supports complex routing scenarios.
RabbitMQ does not support complex routing scenarios.
Developer Experience
With high growth, Kafka led to a good experience. But, it only supports Java clients.
RabbitMQ carries mature client libraries that support Java, PHP, Python, Ruby, and many more.
This content originally appeared on DEV Community 👩‍💻👨‍💻 and was authored by Rakesh KR
Rakesh KR | Sciencx (2022-10-29T16:12:42+00:00) Kafka Vs RabbitMQ. Retrieved from https://www.scien.cx/2022/10/29/kafka-vs-rabbitmq/
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