Compare ActiveMQ vs. HiveMQ

Apache ActiveMQ® stands out as the leading open-source, multi-protocol message broker built on Java. It accommodates widely accepted protocols, allowing users to take advantage of diverse client options across various programming languages and platforms. Clients can connect using languages such as JavaScript, C, C++, Python, .Net, and more. The integration of multi-platform applications is made seamless with the widely-used AMQP protocol. Furthermore, web applications can communicate effectively through the STOMP protocol over websockets. ActiveMQ also facilitates the management of IoT devices by leveraging MQTT. It not only supports existing JMS infrastructures but also extends beyond them, providing the robustness and adaptability necessary for any messaging scenario. Presently, there are two distinct versions of ActiveMQ: the traditional "classic" broker and the innovative "next generation" broker known as Artemis. As Artemis develops to match the feature set of the Classic code-base, it is set to evolve into the next major release of ActiveMQ. Initial documentation for migration is accessible, along with a development roadmap outlining the future of Artemis, ensuring users have the guidance they need for a smooth transition. This evolution signifies a commitment to continual improvement and adaptation in a rapidly changing technological landscape.

The HiveMQ Platform provides a scalable, reliable data backbone with an event-driven MQTT architecture. Here are a few highlights: 1. MQTT Broker: At the heart of the HiveMQ platform is a fully MQTT-compliant broker purpose-built for fast, reliable, bi-directional data movement between IoT devices and enterprise systems. 2. Edge Data Integration: HiveMQ Edge seamlessly integrates edge data by converting industrial protocols into standardized MQTT, enabling an interoperable IIoT infrastructure. 3. IoT Streaming Governance: Data Hub transforms data in flight, passing only the most relevant, contextualized data to cloud and enterprise systems. 4. UNS & IT/OT convergence Enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability. 5. Distributed Data Intelligence: HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most. 6. Maximum Interoperability: Runs anywhere on-premises or in public or private clouds. Efficiently connects to streaming applications, databases and data lakes with a Java SDK to build your own 7. Scalability to Support Growth: Elastic scaling with automatic data balancing and smart message distribution. Proven benchmark of up to 200M active clients with 1.8B messages/hour 8. Business Critical Reliability: Zero message loss with persistence to disk and offline queuing. No single point of failure due to masterless cluster architecture and zero downtime upgrades