Best Message Queue Software for Apache Kafka

HiveMQ is the most trusted enterprise MQTT platform, purpose-built to connect anything via MQTT, communicate reliably, and control IoT data. The platform can be deployed anywhere, on-premise or in the cloud, giving developers the flexibility and freedom they need to evolve as their IoT deployment grows. HiveMQ is reliable under real-world stress, scales without limits, and provides enterprise-grade security to meet the needs of organizations at any stage of digital transformation. The extensible platform provides seamless connectivity to the leading data streaming, databases, and data analytics platforms, plus offers a custom SDK for a perfect fit in any stack.

Ably is the definitive realtime experience platform. We power more WebSocket connections than any other pub/sub platform, serving over a billion devices monthly. Businesses trust us with their critical applications like chat, notifications and broadcast - reliably, securely and at serious scale.

Pro Edition for Eclipse Mosquitto is a pro version of the world's #1 MQTT broker that quickly, stably, and reliably transmits data between IoT devices. Compared to the popular open-source version, Pro Mosquitto offers professional MQTT broker and client administration and monitoring, MQTT High Availability, MQTT and REST API access, improved reliability, enhanced security, and professional support, making it an ideal solution for commercial use. Benefits: Performance: Benefit from the low usage of computing resources and easily maintain up to 1 million concurrent connections. Pro Mosquitto is written in C, which makes it even more lightweight and efficient than competitors. In addition, it can run on very low-spec embedded devices, e.g., single-core 600MHz ARM and 128MB RAM. Reliable and trusted by the global dev community: The product is a pro version of the most popular open-source MQTT broker with more than 500 million docker pulls worldwide, powered by up to 99.99% SLA to ensure business continuity. Professional services and support: Our team can help you solve any issue, ensuring your project's successful implementation and maintenance. In addition, one can also request us to provide them with professional services

Solace is a specialist in Event-Driven-Architecture (EDA), with two decades of experience providing enterprises with highly reliable, robust and scalable data movement technology based on the publish & subscribe (pub/sub) pattern. Solace technology enables the real-time data flow behind many of the conveniences you take for granted every day such as immediate loyalty rewards from your credit card, the weather data delivered to your mobile phone, real-time airplane movements on the ground and in the air, and timely inventory updates to some of your favourite department stores and grocery chains, not to mention that Solace technology also powers many of the world's leading stock exchanges and betting houses. Aside from rock solid technology, stellar customer support is one of the biggest reasons customers select Solace, and stick with them.

StreamNative transforms the landscape of streaming infrastructure by combining Kafka, MQ, and various other protocols into one cohesive platform, which offers unmatched flexibility and efficiency tailored for contemporary data processing requirements. This integrated solution caters to the varied demands of streaming and messaging within microservices architectures. By delivering a holistic and intelligent approach to both messaging and streaming, StreamNative equips organizations with the tools to effectively manage the challenges and scalability of today’s complex data environment. Furthermore, Apache Pulsar’s distinctive architecture separates the message serving component from the message storage segment, creating a robust cloud-native data-streaming platform. This architecture is designed to be both scalable and elastic, allowing for quick adjustments to fluctuating event traffic and evolving business needs, and it can scale up to accommodate millions of topics, ensuring that computation and storage remain decoupled for optimal performance. Ultimately, this innovative design positions StreamNative as a leader in addressing the multifaceted requirements of modern data streaming.

Red Hat AMQ serves as a versatile messaging platform that ensures reliable information delivery, fostering real-time integration and enabling connectivity for the Internet of Things (IoT). Built on the foundations of open source projects such as Apache ActiveMQ and Apache Kafka, it accommodates a range of messaging patterns, allowing for the swift and effective integration of applications, endpoints, and devices, which ultimately boosts enterprise agility and responsiveness. With the ability to facilitate high-throughput and low-latency data sharing among microservices and other applications, AMQ significantly enhances operational efficiency. Furthermore, it offers connectivity options for client programs developed in various programming languages, ensuring broad compatibility. The platform also establishes an open-wire protocol for messaging interoperability, which permits businesses to implement diverse distributed messaging solutions tailored to their changing needs. Supported by the award-winning services of Red Hat, AMQ is recognized for its ability to underpin mission-critical applications, reinforcing its value in enterprise environments. Additionally, its adaptability makes it an ideal choice for organizations aiming to stay ahead in a rapidly evolving digital landscape.

Middleware Observability & management software for Messaging, event processing, and Streaming Across Hybrid Clouds (MESH). - 360 degree situational awareness® with complete observability of Integration MESH - Manage configuration, administration and deployment in a secure manner and automate them. - Track and trace transactions, messages, and flows - Collect data, monitor performance, and benchmark it meshIQ provides granular controls for managing configurations in the MESH, reducing downtime and allowing quick recovery after outages. It allows you to search, browse, track and trace messages in order to detect bottlenecks, speed up root cause analysis, and detect bottlenecks. Unlocks integration blackbox for visibility across MESH infrastructure in order to visualize, analyse, report and predict. Delivers the capability to trigger automated action based on predefined criteria or intelligent AI/ML actions.

IBM Event Streams is a comprehensive event streaming service based on Apache Kafka, aimed at assisting businesses in managing and reacting to real-time data flows. It offers features such as machine learning integration, high availability, and secure deployment in the cloud, empowering organizations to develop smart applications that respond to events in real time. The platform is designed to accommodate multi-cloud infrastructures, disaster recovery options, and geo-replication, making it particularly suitable for critical operational tasks. By facilitating the construction and scaling of real-time, event-driven solutions, IBM Event Streams ensures that data is processed with speed and efficiency, ultimately enhancing business agility and responsiveness. As a result, organizations can harness the power of real-time data to drive innovation and improve decision-making processes.

Businesses that operate real-time web and mobile applications often face challenges related to latency, bandwidth, and scalability, which can adversely affect both their total cost of ownership and the immediate experience for their users. Such challenges arise from traditional methods, including HTTP polling and long polling, which are commonly used for facilitating real-time communication through web and application servers. To address these shortcomings, we developed MigratoryData, an innovative real-time messaging technology that utilizes the WebSockets standard to efficiently stream data to users through persistent WebSocket connections, achieving response times in milliseconds while keeping traffic overhead low. Unlike many other existing real-time messaging solutions, MigratoryData is specifically engineered to accommodate a vast number of users simultaneously. In fact, it has been tested to successfully deliver real-time data to as many as 10 million concurrent users from a single standard server, showcasing its exceptional performance and scalability capabilities. This advancement not only enhances user experience but also optimizes operational costs for enterprises.

The Baidu Messaging System (BMS) serves as a scalable and distributed message queue service renowned for its impressive throughput capabilities. It gathers extensive data from various sources such as websites, devices, and applications, allowing for immediate analysis of activities like user browsing behavior, clicks, and search queries. Built on the foundation of Apache Kafka, BMS leverages this robust, distributed, multi-partitioned, and multi-replica messaging platform. Producers and consumers communicate asynchronously through the message queue, enabling them to operate independently without waiting for one another. Unlike conventional messaging services, BMS simplifies the complexities of managing a Kafka cluster by offering it as a hosted solution. This means users can seamlessly integrate BMS with widely distributed applications without needing to manage cluster operations, paying only for what they use. Consequently, BMS provides an efficient and user-friendly approach to handling messaging needs in modern distributed systems.