Is Kafka similar to JMS?

Kafka is like topics in JMS, RabbitMQ, and other MOM systems for multiple consumer groups. Kafka has topics and producers publish to the topics and the subscribers (Consumer Groups) read from the topics. Kafka offers consumer groups, which is a named group of consumers.

Is Kafka faster than JMS?

Finally, Kafka is tremendously faster, mostly because of some clever disk/memory transfer techniques and because consumers take care about the messages they consumed, not the broker like in JMS.

How Kafka is better than ActiveMQ?

Kafka is way faster than ActiveMQ. It can handle millions of messages per sec. ActiveMQ supports both message queues and publishes/subscribe messaging systems. On the other hand, Kafka is based on publish/subscribe but does have certain advantages of message-queues.

What are the advantages of using Apache Kafka?

Kafka was designed to deliver these distinct advantages over AMQP, JMS, etc.

• Kafka is highly scalable. Kafka is a distributed system, which is able to be scaled quickly and easily without incurring any downtime.
• Kafka is highly durable.
• Kafka is Highly Reliable.
• Kafka Offers High Performance.

Is Apache Kafka a JMS implementation?

Overview. The Java Message Service (JMS) is a client messaging API used by distributed Java applications for publish/subscribe and point to point communications. The kafka-jms-client is an implementation of the JMS 1.1 provider interface that uses the Apache Kafka wire protocol to talk to one or more Kafka brokers.

What are the advantages of Apache spark?

What is Apache Spark – Benefits of Apache Spark

• Speed. Engineered from the bottom-up for performance, Spark can be 100x faster than Hadoop for large scale data processing by exploiting in memory computing and other optimizations.
• Ease of Use. Spark has easy-to-use APIs for operating on large datasets.
• A Unified Engine.