Quick Answer: Is RabbitMQ Better Than ActiveMQ?

What is the difference between Kafka and ActiveMQ?

ActiveMQ is a general-purpose messaging solution that supports various messaging protocols.

Kafka is way faster than ActiveMQ.

ActiveMQ supports both message-queues and publishes/subscribe messaging systems.

Kafka, on the other hand, is based on publish/subscribe but does have certain advantages of message-queues..

When should I use a message broker?

When Is a Message Broker Needed?If you want to control data feeds. For example, the number of registrations in any system.When the task is to send data to several applications and avoid direct use of their API.When you need to complete processes in a defined order, like a transactional system.

Does ActiveMQ support AMQP?

ActiveMQ supports the AMQP 1.0 protocol which is an OASIS standard. Available from ActiveMQ version 5.8 onward.

Does Google use Kafka?

Google provides Pubsub and there are some fully managed Kafka versions out there that you can configure on the cloud and On-prem. Message duplication – With Kafka you will need to manage the offsets of the messages by yourself, using an external storage, such as, Apache Zookeeper.

What is difference between JMS and ActiveMQ?

6 Answers. ActiveMQ is a message broker which implements the JMS API and supports a number of cross language clients and network protocols. … JMS is fundamental to the other technologies, like JDBC is the foundation for Hibernate, iBatis, etc. JMS is a Java API and a specification and TCK (part of Java EE).

Is RabbitMQ push or pull?

RabbitMQ uses a push model and prevents overwhelming consumers via the consumer configured prefetch limit. This is great for low latency messaging and works well for RabbitMQ’s queue based architecture. Kafka on the other hand uses a pull model where consumers request batches of messages from a given offset.

Why is Kafka faster than RabbitMQ?

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.

Which message broker is widely used for MCollective?

RabbitMQRabbitMQ is an open-source message broker written in Erlang; MCollective talks to RabbitMQ using the Stomp protocol. Although it works well with MCollective, it isn’t as thoroughly tested with it as ActiveMQ is, so if your site has no preference, you should default to ActiveMQ.

What is the best message queue?

Top 8 Message Queue (MQ) SoftwareMuleSoft Anypoint Platform.IBM MQ.Azure Scheduler.Apache Kafka.Google Cloud Pub/Sub.Amazon MQ.Apache ActiveMQ.RabbitMQ.

Can Kafka replace JMS?

Yes. It can be both. Kafka is like a queue for consumer groups, which we cover later. Basically, Kafka is a queue system per consumer group so it can do load balancing like JMS, RabbitMQ, etc.

What is Kafka good for?

In short, Kafka is used for stream processing, website activity tracking, metrics collection and monitoring, log aggregation, real-time analytics, CEP, ingesting data into Spark, ingesting data into Hadoop, CQRS, replay messages, error recovery, and guaranteed distributed commit log for in-memory computing ( …

What is the difference between Redis and RabbitMQ?

Redis is a database that can be used as a message-broker. On the other hand, RabbitMQ has been designed as a dedicated message-broker. RabbitMQ outperforms Redis as a message-broker in most scenarios. RabbitMQ guarantees message delivery.

Which is better ActiveMQ or RabbitMQ?

ActiveMQ is an open-source message broker is scripted in Java which is based on Java Message Service client whereas RabbitMQ is implemented on Advanced Message Queueing protocol. 2. … ActiveMQ is easier to implement and provides advanced features such as clustering, caching, logging, and message storage.

What are the benefits of using RabbitMQ over Redis?

It has lots of message broker capabilities naturally. Following is a list of pros for using RabbitMQ over Redis: RabbitMQ uses Advanced Message Queuing Protocol (AMQP) which can be configured to use SSL, additional layer of security. RabbitMQ takes approximately 75% of the time Redis takes in accepting messages.

Is RabbitMQ a JMS?

RabbitMQ is not a JMS provider but includes a plugin needed to support the JMS Queue and Topic messaging models. JMS Client for RabbitMQ implements the JMS 1.1 specification on top of the RabbitMQ Java client, thus allowing new and existing JMS applications to connect to RabbitMQ.

When should I use Redis?

Redis is a great choice for implementing a highly available in-memory cache to decrease data access latency, increase throughput, and ease the load off your relational or NoSQL database and application.

What protocol does JMS use?

AMQP protocolIt uses AMQP protocol. You can use JMS to do 1-to-1 communication using Message Queue provided by Middleware.

Can Redis be used as a message broker?

At its core, Redis is an in-memory data store that can be used as either a high-performance key-value store or as a message broker. … It’s also perfect for real-time data processing. Originally, Redis was not one-to-one and one-to-many.

Why is Kafka over other messages?

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. Kafka Offers High Performance.

Why do we use RabbitMQ?

RabbitMQ is a general purpose messaging solution, often used to allow web servers to respond to requests quickly instead of being forced to perform resource-heavy procedures while the user waits for the result. … Your application needs variety in point to point, request / reply, and publish/subscribe messaging.

Why Kafka has high throughput?

There are actually a lot of differences that make Kafka perform well including but not limited to: Maximized use of sequential disk reads and writes. Zero-copy processing of messages. Use of Linux OS page cache rather than Java heap for caching.