No, Kafka uses its own non-standard protocol and clients. However, there's a 3rd-party JMS Client for Kafka from Confluent.Regarding this, is Kafka based on JMS?
Basically, Kafka is a queue system per consumer group so it can do load balancing like JMS, RabbitMQ, etc. 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.
Also, is RabbitMQ JMS compliant? The JMS client API is standardized, so JMS applications are portable between vendors' implementations. Because JMS Client for RabbitMQ is implemented using the RabbitMQ Java client, it is compliant with both the JMS API and the AMQP 0-9-1 protocol.
One may also ask, what is difference between Kafka and JMS?
Apache Kafka is a pull-type messaging platform where consumers pull the messages from the broker while JMS-based services are of push-type in nature where the providers push the messages to the consumers.
Can Kafka replace Tibco?
TIBCO says that Messaging customers can now bridge Apache Kafka applications to their existing investments in TIBCO FTL, TIBCO eFTL and TIBCO Enterprise Message Service technologies.
What is the difference between Kafka and MQ?
While IBM MQ or JMS in general is used for traditional messaging, Apache Kafka is used as streaming platform (messaging + distributed storage + processing of data). Both are built for different use cases. You can use Kafka for "traditional messaging", but not use MQ for Kafka-specific scenarios.What is Kafka good for?
Kafka is a distributed streaming platform that is used publish and subscribe to streams of records. Kafka is used for fault tolerant storage. Kafka replicates topic log partitions to multiple servers. Kafka is designed to allow your apps to process records as they occur.How Kafka is different from other messaging system?
From queues to Kafka A message queue allows a bunch of subscribers to pull a message, or a batch of messages, from the end of the queue. With Kafka on the other hand, you publish messages/events to topics, and they get persisted. They don't get removed when consumers receive them.What is the difference between JMS and MQ?
The difference being that JMS messages have some standard header fields at the begining of the message buffer and "native" mq messages contain just the data your program sent to the buffer.How does ZooKeeper work with Kafka?
Kafka Architecture: Topics, Producers and Consumers Kafka uses ZooKeeper to manage the cluster. ZooKeeper is used to coordinate the brokers/cluster topology. ZooKeeper is a consistent file system for configuration information. ZooKeeper gets used for leadership election for Broker Topic Partition Leaders.How does Kafka work?
How does it work? Applications (producers) send messages (records) to a Kafka node (broker) and said messages are processed by other applications called consumers. Said messages get stored in a topic and consumers subscribe to the topic to receive new messages.Why Kafka is better than other messaging systems?
Kafka is Highly Reliable Kafka replicates data and is able to support multiple subscribers. Additionally, it automatically balances consumers in the event of failure. That means that it's more reliable than similar messaging services available.What is Kafka technology?
Apache Kafka is an open-source stream-processing software platform developed by LinkedIn and donated to the Apache Software Foundation, written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.Is Kafka a messaging system?
Apache Kafka is a distributed publish-subscribe messaging system and a robust queue that can handle a high volume of data and enables you to pass messages from one end-point to another. Kafka is suitable for both offline and online message consumption.Does Kafka support queues?
Using Kafka as a message queue. Apache Kafka is a very popular publish/subscribe system, which can be used to reliably process a stream of data. The central concept in Kafka is a topic, which can be replicated across a cluster providing safe data storage. It is not possible to acknowledge individual messages.Does Kafka use AMQP?
No. AMQP is a protocol, whereas Kafka is a messaging system with it's own protocol. The way both protocols work are fundamentally different.Where is Kafka used?
Kafka is used for real-time streams of data, used to collect big data or to do real time analysis or both). Kafka is used with in-memory microservices to provide durability and it can be used to feed events to CEP (complex event streaming systems), and IOT/IFTTT style automation systems.Is Kafka free?
Kafka itself is completely free and open source. Confluent is the for profit company by the creators of Kafka. The Confluent Platform is Kafka plus various extras such as the schema registry and database connectors.Is Kafka a message queue?
Kafka as a Messaging System Messaging traditionally has two models: queuing and publish-subscribe. In a queue, a pool of consumers may read from a server and each record goes to one of them; in publish-subscribe the record is broadcast to all consumers.What is the difference between Kafka and IBM MQ vs ActiveMQ?
While ActiveMQ (like IBM MQ or JMS in general) is used for traditional messaging, Apache Kafka is used as streaming platform (messaging + distributed storage + processing of data). Both are built for different use cases. You can use Kafka for "traditional messaging", but not use MQ for Kafka-specific scenarios.What is better than Kafka?
Apache Kafka: Kafka offers much higher performance than message brokers like RabbitMQ. It uses sequential disk I/O to boost performance, making it a suitable option for implementing queues. It can achieve high throughput (millions of messages per second) with limited resources, a necessity for big data use cases.What is Kafka queue?
Apache Kafka is a community distributed event streaming platform capable of handling trillions of events a day. Initially conceived as a messaging queue, Kafka is based on an abstraction of a distributed commit log. 
