ActiveMQ vs Apache RocketMQ

Overview

ActiveMQ

Stacks879

Followers1.3K

Votes77

GitHub Stars2.4K

Forks1.5K

Apache RocketMQ

Stacks48

Followers200

Votes8

ActiveMQ vs Apache RocketMQ: What are the differences?

Introduction

This Markdown code provides a comparison between ActiveMQ and Apache RocketMQ, highlighting their key differences.

Message Storage: ActiveMQ uses a traditional message-based storage model, where messages are stored sequentially. On the other hand, Apache RocketMQ adopts a topic-based storage model, where messages are organized into topics for easier management and retrieval.
Message Persistence: ActiveMQ offers various levels of message persistence, including in-memory, file-based, and database-based persistence. In comparison, Apache RocketMQ emphasizes on disk-based message persistence, ensuring durability and fault tolerance.
Message Ordering: ActiveMQ guarantees the ordering of messages within a single destination, ensuring that messages are consumed in the same order they were produced. In contrast, Apache RocketMQ guarantees global message ordering, maintaining the order across multiple topics and partitions.
Message Replication: ActiveMQ supports master-slave replication, where a master broker handles message production and slaves replicate the messages for high availability. Apache RocketMQ, on the other hand, adopts a broker cluster model where each broker is responsible for message replication, providing both fault tolerance and load balancing.
Scalability: ActiveMQ can scale horizontally by adding more brokers to handle message traffic. However, scaling ActiveMQ requires manual configuration and coordination. Apache RocketMQ, on the other hand, offers automatic scaling through its broker cluster model, allowing for easy expansion and load balancing.
Language Support: ActiveMQ provides support for various programming languages, including Java, C++, and .NET. Similarly, Apache RocketMQ offers client support for multiple languages, including Java and C++. However, Apache RocketMQ also provides a lightweight client called RocketMQ-CPP, specifically designed for resource-limited devices.

In summary, ActiveMQ and Apache RocketMQ differ in their approach to message storage, persistence, ordering, replication, scalability, and language support.

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Detailed Comparison

ActiveMQ	Apache RocketMQ
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. Apache ActiveMQ is released under the Apache 2.0 License.	Apache RocketMQ is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability.
Protect your data & Balance your Load; Easy enterprise integration patterns; Flexible deployment	-
Statistics
GitHub Stars 2.4K	GitHub Stars -
GitHub Forks 1.5K	GitHub Forks -
Stacks 879	Stacks 48
Followers 1.3K	Followers 200
Votes 77	Votes 8
Pros & Cons
Pros 18 Easy to use 14 Open source 13 Efficient 10 JMS compliant 6 High Availability Cons 1 Low resilience to exceptions and interruptions 1 ONLY Vertically Scalable 1 Support 1 Difficult to scale	Pros 2 Million-level message accumulation capacity in a single 2 Support tracing message and transactional message 1 Low latency 1 High throughput messaging 1 BigData Friendly
Integrations
No integrations available	Docker

What are some alternatives to ActiveMQ, Apache RocketMQ?

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

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ActiveMQ vs Apache RocketMQ: What are the differences?

Introduction

This Markdown code provides a comparison between ActiveMQ and Apache RocketMQ, highlighting their key differences.

Message Storage: ActiveMQ uses a traditional message-based storage model, where messages are stored sequentially. On the other hand, Apache RocketMQ adopts a topic-based storage model, where messages are organized into topics for easier management and retrieval.
Message Persistence: ActiveMQ offers various levels of message persistence, including in-memory, file-based, and database-based persistence. In comparison, Apache RocketMQ emphasizes on disk-based message persistence, ensuring durability and fault tolerance.
Message Ordering: ActiveMQ guarantees the ordering of messages within a single destination, ensuring that messages are consumed in the same order they were produced. In contrast, Apache RocketMQ guarantees global message ordering, maintaining the order across multiple topics and partitions.
Message Replication: ActiveMQ supports master-slave replication, where a master broker handles message production and slaves replicate the messages for high availability. Apache RocketMQ, on the other hand, adopts a broker cluster model where each broker is responsible for message replication, providing both fault tolerance and load balancing.
Scalability: ActiveMQ can scale horizontally by adding more brokers to handle message traffic. However, scaling ActiveMQ requires manual configuration and coordination. Apache RocketMQ, on the other hand, offers automatic scaling through its broker cluster model, allowing for easy expansion and load balancing.
Language Support: ActiveMQ provides support for various programming languages, including Java, C++, and .NET. Similarly, Apache RocketMQ offers client support for multiple languages, including Java and C++. However, Apache RocketMQ also provides a lightweight client called RocketMQ-CPP, specifically designed for resource-limited devices.

In summary, ActiveMQ and Apache RocketMQ differ in their approach to message storage, persistence, ordering, replication, scalability, and language support.