RabbitMQ vs ActiveMQ: 6 Comprehensive Differences

Message queuing (MQ) is a service that allows application-to-application communication services regardless of where the application or data are located. It helps applications to communicate with one another via messages routed between them by a message broker. The Message Broker was created to expand MQ, and it is capable of comprehending the content of each message that passes through it.

Table of Contents

In this article, we will learn about two widely used message brokers – RabbitMQ VS ActiveMQ.

Both the brokers are open-source and were designed to tackle real-time challenges faced during communication. However, many find it difficult to understand the prominent differences between these two. Thus, this article describes the key differences between RabbitMQ VS ActiveMQ. along with their benefits.

Understanding RabbitMQ

rabbitmq vs activemq: rabbitmq — Image Source: https://www.rabbitmq.com/

RabbitMQ is a free, open-source, and scalable messaging solution that aids in the smooth operation of a variety of online applications. It supports AMQP (Advanced Message Queuing Protocol), MQTT (Message Queuing Telemetry Transport), and STOMP (Streaming Text Oriented Messaging Protocol). RabbitMQ is an Erlang-based messaging system that allows you to build strong, dependable, fault-tolerant, and highly scalable systems that can handle several tasks at the same time.

It serves as a middleware layer that allows multiple applications in organizations to communicate without the fear of message loss while meeting various quality of service (QoS) standards. RabbitMQ uses queues to store messages in a logical order and allow requesters and responders to share messages. However, each RabbitMQ message can only have one subscriber by default and is removed after it is accessed/consumed.

You may utilize RabbitMQ’s open-source management plugin to improve your experience with managing mission-critical application operations. You may use the plugin to monitor various message statistics as well as keep track of all data processes in queues.

Features of RabbitMQ

Open Source: RabbitMQ is an open-source project developed in Erlang that leverages the strength of Pivotal’s commercial offerings. Being an active open source community, RabbitMQ continuously works towards enhancing the solution for better reliability.
Platform and vendor-neutral: The message broker is accessible for most programming languages and on all major platforms thanks to the Advanced Message Queuing Protocol (AMQP) specification’s platform- and vendor-neutral implementation.
Client libraries for most modern languages: RabbitMQ’s client libraries operate on a number of platforms and support the majority of modern programming languages. This makes it an appealing broker for developing improved solutions. Because there are no vendor or language limits when designing programs that communicate with it, it is commonly used as a significant component of applications written in a variety of languages. RabbitMQ is a handy data transmission interface for Java, Ruby, Python, PHP, JavaScript, and C#.
Layers of security: RabbitMQ includes a number of security features. Client connections can only be secured via SSL-encrypted communications and client certificates. Access to resources and messages may be managed at the virtual-host level, ensuring that messages and resources are segregated.
Plugins for higher-latency environments: RabbitMQ supports messaging for low-latency contexts and plugins for higher-latency settings, such as the internet, because not all network topologies and architectures are the same. Federated messages may be exchanged across several data centers by clustering RabbitMQ on the same local network.
Flexibility in controlling messaging trade-offs: RabbitMQ lets you manage the trade-offs between message throughput and performance while ensuring messaging reliability. Messages can indicate whether they should be stored on a disc before being delivered, as it is not a “one-size-fits-all” application. Queues may also be made highly available by spanning many servers to ensure that messages are not lost in the case of a server failure.

Hevo Data, a No-code Data Pipeline helps to load data from any data source such as Databases, SaaS applications, Cloud Storage, SDKs, and Streaming Services and simplifies the ETL process. It supports 100+ data sources (including 30+ free data sources) like Asana and is a 3-step process by just selecting the data source, providing valid credentials, and choosing the destination. Hevo not only loads the data onto the desired Data Warehouse/destination but also enriches the data and transforms it into an analysis-ready form without having to write a single line of code.

GET STARTED WITH HEVO FOR FREE[/hevoButton]

Its completely automated pipeline offers data to be delivered in real-time without any loss from source to destination. Its fault-tolerant and scalable architecture ensure that the data is handled in a secure, consistent manner with zero data loss and supports different forms of data. The solutions provided are consistent and work with different BI tools as well.

Check out why Hevo is the Best:

Secure: Hevo has a fault-tolerant architecture that ensures that the data is handled in a secure, consistent manner with zero data loss.
Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination schema.
Minimal Learning: Hevo, with its simple and interactive UI, is extremely simple for new customers to work on and perform operations.
Hevo Is Built To Scale: As the number of sources and the volume of your data grows, Hevo scales horizontally, handling millions of records per minute with very little latency.
Incremental Data Load: Hevo allows the transfer of data that has been modified in real-time. This ensures efficient utilization of bandwidth on both ends.
Live Support: The Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.
Live Monitoring: Hevo allows you to monitor the data flow and check where your data is at a particular point in time.

Understanding ActiveMQ

rabbitmq vs activemq: activemq — Image Source: https://activemq.apache.org/

ActiveMQ is a message broker that acts as a communication link between multiple components on separate servers or written in different programming languages. In other words, ActiveMQ is the message-oriented middleware (MOM) software that enables applications to connect with one another. It uses standards-based, asynchronous communication to create loose coupling between services in an application, which is the foundation of messaging systems and distributed applications.

It comprises extensions such as STOMP, JMS, and OpenWire, and its primary function is to convey messages between applications. It can handle a variety of transport protocols as well as business functions. Additionally, rather than requiring both ends to be online at the same time in order to interact, ActiveMQ may connect many clients and servers and queue messages.

Features of ActiveMQ

Connectivity: ActiveMQ supports HTTP/S, IP multicast, SSL, STOMP, TCP, UDP, XMPP, and other protocols for better connection. A messaging platform that supports many protocols decreases adoption hurdles because many existing systems use a specific protocol and do not have the opportunity to switch.
Pluggable persistence and security: ActiveMQ can be fully customized for the type of authentication and authorization that’s best for you. As an example, ActiveMQ offers its style of message persistence via KahaDB, but it also supports standard JDBC-based databases. The ActiveMQ application supports its authentication and authorization mechanisms using properties files and standard JAAS login modules.
Client API: ActiveMQ also has APIs in C/C++,.NET, Perl, PHP, Python, Ruby, and more languages in addition to Java. Despite the fact that ActiveMQ operates on a Java virtual machine, ActiveMQ clients may be built in any language.
Simplified Administration Support: ActiveMQ was created with developers in mind. It does not, however, require a specialized administrator due to its easy-to-use and strong administrative capabilities. ActiveMQ may be monitored via the ActiveMQ Management Console, JConsole, and the ActiveMQ web console, among other tools. You may also process ActiveMQ advisory messages and run command-line scripts.
Broker Clustering: To improve scalability, several ActiveMQ brokers can operate together as a federated network. A network of brokers is an example of this, as it may accommodate a variety of topologies.

RabbitMQ vs ActiveMQ: Understanding the Key Differences

Image Source

RabbitMQ vs ActiveMQ: Scalability

The scalability factor has a direct impact on the performance of any application in RabbitMQ vs ActiveMQ. In most cases, a single ActiveMQ broker is sufficient to meet all the application’s requirements. However, to satisfy more complicated messaging scenarios, a network of brokers is often used to construct a cluster made of many ActiveMQ interconnected servers. Whereas, RabbitMQ’s built-in clustering is one of its most remarkable features, distinguishing it from nearly all other open-source message brokers. The clustering method was constructed with two purposes: keeping consumers and producers functioning if one of the nodes fails and linearly expanding message throughput by adding additional nodes.

RabbitMQ vs ActiveMQ: Deployment

While deploying an application, scaling plays an essential role in determining any application’s latency and performance metrics for RabbitMQ vs ActiveMQ. There are three types of scaling methods – Vertical, Horizontal, and Traffic Partitioning. The vertical scaling strategy deploys a large number of connections in a single broker. On the other hand, horizontal scaling takes advantage of networks to expand the number of brokers available to your applications. The third hybrid deployment technique is traffic partitioning, which combines vertical scaling and horizontal techniques. The ActiveMQ broker offers all three different types of scaling methods. However, RabbitMQ can only be scaled horizontally and vertically.

RabbitMQ vs ActiveMQ: Origin and License

RabbitMQ is a message broker and queueing server implemented on Advanced Message Queuing Protocol (AMQP) that allows transferring data across applications using a standard protocol. It was developed by Pivotal Software under the Mozilla Public License. However, ActiveMQ is a Java Message Service (JMS) based compliant, message-oriented middleware (MOM) developed by the Apache Software Foundation and holds the Apache License. This license allows users to modify ActiveMQ without repercussions for the redistribution of changes.

RabbitMQ vs ActiveMQ: Supporting Languages

RabbitMQ is written in Erlang or OTP language, and it also supports languages such as C, C++, Javascript, Java, Python, Ruby, and PHP. ActiveMQ, on the other hand, is written in Java and supports APIs for a wide range of languages, including C/C++, .NET, Perl, PHP, Python, Ruby, and many more.

RabbitMQ vs ActiveMQ: Synchronization Methods

The synchronization technique directly influences the product’s functioning in RabbitMQ vs ActiveMQ. RabbitMQ can work in both synchronous and asynchronous modes of operation. However, ActiveMQ is configured to operate in synchronous mode by default, but this may be changed to the asynchronous mode by modifying the default configuration.

RabbitMQ vs ActiveMQ: Messaging Techniques

With the help of the ActiveMQ broker, it is possible to carry out messaging techniques such as PUB-SUB and P2P. PUB-SUB allows sending and receiving messages that don’t need to know much about sender and receiver end. Whereas, P2P allows the sender to know information about the receiver end before it can send a message to that application. While, RabbitMQ allows general message technique PUB-SUB with additional patterns such as Message Queue, RPC, and Routing.

Conclusion

In addition to routing, message brokers can often translate message formats and protocols to help connect various applications. Message brokers work as the building blocks of message-oriented middleware for a complete messaging solution. Both RabbitMQ vs ActiveMQ are highly scalable, high-performance, and reliable message brokers.

Companies uses various trusted source as it provides many benefits but transferring data from it into a data warehouse is a hectic task. The Automated data pipeline helps in solving this issue and this is where Hevo comes into the picture. Hevo Data is a No-code Data Pipeline and has awesome 100+ pre-built Integrations that you can choose from.

visit our website to explore hevo[/hevoButton]

Hevo can help you Integrate your data from numerous sources and load them into a destination to Analyze real-time data with a BI tool such as Tableau. It will make your life easier and data migration hassle-free. It is user-friendly, reliable, and secure.

Share your experience of learning about RabbitMQ vs ActiveMQ in the comments section below.

Srishty Bhardwaj Freelance Technical Content Writer, Hevo Data

Srishty loves breaking down complexities of data integration and analysis, through her detailed and comprehensive content to help data teams in understanding intricate subjects and solve business problems.

No-code Data Pipeline For Your Data Warehouse

Try for free