Apache ActiveMQ is the most popular and powerful open source messaging and Integration Patterns provider. Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Its features include: 
 <UL>
	<LI>Supports a variety of Cross Language Clients and Protocols from Java, C, C++, C#, Ruby, Perl, Python, PHP
	<UL>
		<LI>OpenWire for high performance clients in Java, C, C++, C#</LI>
		<LI>Stomp support so that clients can be written easily in C, Ruby, Perl, Python, PHP, ActionScript/Flash, Smalltalk to talk to ActiveMQ as well as any other <A href="http://stomp.codehaus.org/StompConnect" rel="nofollow">popular Message Broker</A></LI>
	</UL>
	</LI>
	<LI>full support for the Enterprise Integration Patterns both in the JMS client and the Message Broker</LI>
	<LI>Supports many advanced features such as Message Groups, Virtual Destinations, Wildcards and Composite Destinations</LI>
	<LI>Fully supports JMS 1.1 and J2EE 1.4 with support for transient, persistent, transactional and XA messaging</LI>
	<LI>Spring Support so that ActiveMQ can be easily embedded into Spring applications and configured using Spring's XML configuration mechanism</LI>
	<LI>Tested inside popular J2EE servers such as Geronimo, JBoss 4, GlassFish and WebLogic
	<UL>
		<LI>Includes JCA 1.5 resource adaptors for inbound &amp; outbound messaging so that ActiveMQ should auto-deploy in any J2EE 1.4 compliant server</LI>
	</UL>
	</LI>
	<LI>Supports pluggable transport protocols such as in-VM, TCP, SSL, NIO, UDP, multicast, JGroups and JXTA transports</LI>
	<LI>Supports very fast persistence using JDBC along with a high performance journal</LI>
	<LI>Designed for high performance clustering, client-server, peer based communication</LI>
	<LI>REST API to provide technology agnostic and language neutral web based API to messaging</LI>
	<LI>Ajax to support web streaming support to web browsers using pure DHTML, allowing web browsers to be part of the messaging fabric</LI>
	<LI>CXF and Axis Support so that ActiveMQ can be easily dropped into either of these web service stacks to provide reliable messaging</LI>
	<LI>Can be used as an in memory JMS provider, ideal for unit testing JMS</LI>
</UL>

Apache ActiveMQ is the most popular and powerful open source messaging and Integration Patterns provider. Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4.

ActiveMQ

HornetQ is the new ultra high performance enterprise grade messaging system from JBoss community. It is a multi-protocol, embeddable, very high performance, clustered, asynchronous messaging system. It offers server replication and automatic client failover to eliminate lost or duplicated messages in case of server failure. It also provides a comprehensive management API to manage & monitor servers. HornetQ supports STOMP (simple text oriented messaging protocol), JMS bridge, Client side load balancing, Duplicate message detection, Message expiration, Scheduled messages and lot more.

HornetQ is the new ultra high performance enterprise grade messaging system from JBoss community. It is a multi-protocol, embeddable, very high performance, clustered, asynchronous messaging system. It offers server replication and automatic client failover to eliminate lost or duplicated messages in case of server failure. It also provides a comprehensive management API to manage & monitor servers.

Hornetq - Enterprise messaging

Apache RocketMQ is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability.
 
Its features include: 
<ul>
<li>Pub/Sub messaging model</li>
<li>Scheduled message delivery</li>
<li>Message retroactivity by time or offset</li>
<li>Log hub for streaming</li>
<li>Big data integration</li>
<li>Reliable FIFO and strict ordered messaging in the same queue</li>
<li>Efficient pull&amp;push consumption model</li>
<li>Million-level message accumulation capacity in a single queue</li>
<li>Multiple messaging protocols like JMS and OpenMessaging</li>
<li>Flexible distributed scale-out deployment architecture</li>
<li>Lightning-fast batch message exchange system</li>
<li>Various message filter mechanics such as SQL and Tag</li>
<li>Docker images for isolated testing and cloud isolated clusters</li>
<li>Feature-rich administrative dashboard for configuration, metrics and monitoring</li>
</ul>

Apache RocketMQ is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability.

RocketMQ - Distributed messaging and streaming data platform

Akka is the platform for the next generation event-driven, scalable and fault-tolerant architectures on the JVM. It helps to write simpler correct concurrent applications using Actors, STM & Transactors. It could scale out on multi-core or multiple nodes using asynchronous message passing. For fault-tolerance it adopts the Let it crash or Embrace failure model to build applications that self-heals, systems that never stop.

Akka - Build Concurrent and Scalable Applications

Kafka provides a publish-subscribe solution that can handle all activity stream data and processing on a consumer-scale web site. This kind of activity (page views, searches, and other user actions) are a key ingredient in many of the social feature on the modern web. This data is typically handled by "logging" and ad hoc log aggregation solutions due to the throughput requirements. This kind of ad hoc solution is a viable solution to providing logging data to Hadoop.

Kafka - A high-throughput distributed messaging system

Pulsar is a distributed pub-sub messaging platform with a very flexible messaging model and an intuitive client API. It is horizontally scalable (Millions of independent topics and millions of messages published per second), Strong ordering and consistency guarantees, Low latency , REST API, Geo Replication and lot more.

Pulsar - Distributed pub-sub Messaging System from Yahoo

ActiveMQ Apollo is a faster, more reliable, easier to maintain messaging broker built from the foundations of the original ActiveMQ. It accomplishes this using a radically different threading and message dispatching architecture. Like ActiveMQ, Apollo is a multi-protocol broker and supports STOMP, AMQP, MQTT, Openwire, SSL, and WebSockets.

Apache Apollo - ActiveMQ's next generation of messaging 

Apache Samza is a distributed stream processing framework. It uses Apache Kafka for messaging, and Apache Hadoop YARN to provide fault tolerance, processor isolation, security, and resource management. It provides a very simple call-back based process message API that should be familiar to anyone who's used Map/Reduce. Samza was originally developed at LinkedIn. It's currently used to process tracking data, service log data, and for data ingestion pipelines for realtime services. 

Samza - Distributed Stream Processing Framework

S4 is a general-purpose, distributed, scalable, partially fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continuous unbounded streams of data. S4 has been deployed in production systems at Yahoo to process thousands of search queries per second.

s4 - Distributed Stream Computing Platform

Aeron is an efficient reliable unicast and multicast transport protocol. The Aeron protocol is designed to be run directly over many different types of transmission media, including shared memory/IPC, InfiniBand/RDMA, UDP, TCP, Raw IP, HTTP, WebSocket, BLE, etc.

Aeron - Efficient reliable unicast and multicast transport protocol

Pulsar is a distributed pub-sub messaging platform with a very flexible messaging model and an intuitive client API. It has run in production at Yahoo scale for over 3 years, with millions of messages per second across millions of topics. It is Horizontally scalable, Low latency, High throughput, Multi-tenancy, Geo-replication, Transparent batching of messages, Transparent handling of partitioned topics, REST API for provisioning, admin and stats and lot more. 

Apache Pulsar - Distributed pub-sub messaging platform

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