Best Message Queue Software for Cloud

EMQX is the world's most scalable and reliable MQTT messaging platform designed by EMQ. It supports 100M concurrent IoT device connections per cluster while maintaining extremely high throughput and sub-millisecond latency. EMQX boasts more than 20,000 global users from over 50 countries, connecting more than 100M IoT devices worldwide, and is trusted by over 300 customers in mission-critical IoT scenarios, including well-known brands like HPE, VMware, Verifone, SAIC Volkswagen, and Ericsson. Our edge-to-cloud IoT connectivity solutions are flexible to meet the demands of various industries towards digital transformation, including connected vehicles, Industrial IoT, oil & gas, carrier, finance, smart energy, and smart cities.

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, our product 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. Functionality highlights: Leverages Mosquitto Management Center to manage MQTT broker instances and clusters from a single interface. Ensures MQTT High Availability, making your solution available 24h. Ensures security through the use of client certificates and custom certificate authorities, application tokens with role-based access and expiry dates, and the use of the native Dynamic Security plugin to control access rights. Enables MQTT API and REST API to automate workflows and facilitate further integration with third-party systems.

Solace PubSub+ Platform helps enterprises design, deploy and manage event-driven systems across hybrid and multi-cloud and IoT environments so they can be more event-driven and operate in real-time. The PubSub+ Platform includes the powerful PubSub+ Event Brokers, event management capabilities with PubSub+ Event Portal, as well as monitoring and integration capabilities all available via a single cloud console. PubSub+ allows easy creation of an event mesh, an interconnected network of event brokers, allowing for seamless and dynamic data movement across highly distributed network environments. PubSub+ Event Brokers can be deployed as fully managed cloud services, self-managed software in private cloud or on-premises environments, or as turnkey hardware appliances for unparalleled performance and low TCO. PubSub+ Event Portal is a complimentary toolset for design and governance of event-driven systems including both Solace and Kafka-based event broker environments.

MQTT Broker built with passion to provide everything you need to deploy & scale your IoT application. REST API, dashboard and widgets, complete data store & more. A Quick snapshot of the IoT devices with client connection & disconnection and the most important data visualized with widgets on multiple dashboards. Alerts and coloured notations for the different value based triggers. Rules engine to transform MQTT Messages for effective M2M communication automation. Event & timer based rules to define & pattern match data and create actions. Secured publish and subscribe messaging model with two layer of security for device communication with SSL / TLS for the connectivity and device authentication with Username / password as an additional layer. Web security for data view. Broker High availability mode will provision multiple message broker in parallel to collect & publish messages from devices. This ensures 99.99% of data collection to be successful irrespective of any software.

Use standard or FIFO (first in, first out) queues depending on the number of RPS (requests per second). Use familiar tools for interacting with Amazon SQS, the HTTP API, CLI, and libraries for various programming languages. Message Queue uses fast NVMe-enabled solid-state drives to store messages. Messages are stored as multiple copies in geographically distributed availability zones. This ensures reliable storage and low latency with write confirmations. Message Queue is integrated with cloud functions, a trigger invokes a function that handles messages from a queue. Create a queue and view the number of messages and call duration in statistics. Consumers read messages from a standard queue in random order. Standard queues guarantee that each message is delivered at least once. In rare cases, a message can be received from a standard queue twice. Use standard queues when you need maximum throughput.

StreamNative redefines streaming infrastructure by seamlessly integrating Kafka, MQ, and other protocols into a single, unified platform, providing unparalleled flexibility and efficiency for modern data processing needs. StreamNative offers a unified solution that adapts to the diverse requirements of streaming and messaging in a microservices-driven environment. By providing a comprehensive and intelligent approach to messaging and streaming, StreamNative empowers organizations to navigate the complexities and scalability of the modern data ecosystem with efficiency and agility. Apache Pulsar’s unique architecture decouples the message serving layer from the message storage layer to deliver a mature cloud-native data-streaming platform. Scalable and elastic to adapt to rapidly changing event traffic and business needs. Scale-up to millions of topics with architecture that decouples computing and storage.

Massive amounts of data move as messages between applications, systems and services at any given time. If an application isn’t ready or if there’s a service interruption, messages and transactions can be lost or duplicated, costing businesses time and money to make things right. IBM has expertly refined IBM MQ over 25 years on the market. With MQ, if a message can’t be delivered immediately, it’s secured in a queue, where it waits until delivery is assured. Where competitors may deliver messages twice or not at all, MQ moves data, including file data, once — and once only. Never lose a message with MQ. IBM MQ is available as software to run in public or private clouds, in containers or on your mainframe. IBM also offers an IBM-managed cloud service (IBM MQ on Cloud) hosted on IBM Cloud or Amazon, and even as a purpose-built Appliance (IBM MQ Appliance) to simplify deployment and maintenance.

IBM® Messages for RabbitMQ on IBM Cloud® supports multiple messaging protocols as a broker. It lets you route, track and queue messages with customizable persistence levels, delivery settings and publish confirmations. Get to global scale with integrated, infrastructure-as-code tools, such as IBM Cloud Schematics with Terraform and Red Hat® Ansible® support at no additional charge. IBM® Key Protect lets you can bring your own encryption key. Each deployment supports private networking, in-database auditing and more. Messages for RabbitMQ allows you to scale disk and RAM independently to fit your requirements. Grow with elasticity just an API call away. The service is compatible with RabbitMQ APIs, data formats and clients. You can use Messages for RabbitMQ as a drop-in replacement for RabbitMQ. The standard configuration includes three data members configured for high availability. Deployments use multiple availability zones.

IBM® MQ on Cloud is the gold standard for enterprise messaging, providing security-rich and reliable messaging on-premises and across multiple clouds. Use IBM MQ on Cloud as a managed offering. IBM will handle upgrades, patches and many of the operational management tasks, allowing you to focus on integrations with your applications. Your company uses a mobile app on the cloud to facilitate e-commerce transactions. IBM MQ on Cloud connects the on-premises stock system with the consumer application to give users real-time information about what products are available. Your company hosts its core IT systems in San Francisco, but packages are processed in a depot in London. IBM MQ on Cloud reliably transmits messages from one location to another. It lets the London office encrypt "send" data about every package that needs to be tracked, and lets the San Francisco office receive and process that information more securely. Both offices can trust that information won’t be lost.

Your customers expect your service to work at light speed. You need to design for realtime. Realtime allows you to design new innovative services. It makes possible to create new business models. Chat, bots, live interactions, IoT, these are all new but already are taken for granted by customers. Make your developers happy by supporting the two major realtime standards. No need to make a tough choice. Be future-proof by supporting the standards. Your investment will be well spent, as you can use both XMPP & MQTT, or switch from one to the other. Rely on proven and maintained open-source libraries for all programming languages. Be vendor independent. Switch & test other servers and services. Use a SaaS platform that adapts to your needs. Get from your first user to a billion on the same platform. Realtime systems by definition do not tolerate downtime. State-of-the-art security and compliance. Monitored and supported 24/7.

Create many-to-many event driven API integration flows with SaaS, ERP, CRM and third-party applications. Connect your enterprise applications and partner systems to streamline your business. Get the best of the best in integration technology at a price that can't be beat. Leverage the power and scale of cutting-edge technologies like containers and microservices in a simple, intuitive no-code, drag and drop UX. Solve common business problems like Hire2Retire, Quote to Cash, Service Fulfillment, and Data lake creation with ready-to-use solutions. Create custom and complex business workflows across enterprise applications to create strategic advantage and achieve business effectiveness.

Middleware Observability & Management Software for Messaging, Event Processing, and Streaming Across Hybrid Cloud (MESH). - Complete observability and monitoring of Integration MESH with 360° Situational Awareness® - Securely manage, and automate configuration, administration, and deployment - Track, trace, and analyze transactions, messages and flows - Collect, monitor, and benchmark MESH performance meshIQ delivers granular access controls to manage configurations across the MESH to reduce downtime and quick recovery from outages. Provides the ability to find, browse, track, and trace messages to detect bottlenecks and speeding up root-cause analysis. Unlocks the integration blackbox to deliver visibility across the MESH infrastructure to visualize, analyze, report, and predict. Delivers the ability to trigger automated actions based on pre-defined criteria or intelligent actions determined by AI/ML.

IBM Event Streams is a fully managed event streaming platform built on Apache Kafka, designed to help enterprises process and respond to real-time data streams. With capabilities for machine learning integration, high availability, and secure cloud deployment, it enables organizations to create intelligent applications that react to events as they happen. The platform supports multi-cloud environments, disaster recovery, and geo-replication, making it ideal for mission-critical workloads. IBM Event Streams simplifies building and scaling real-time, event-driven solutions, ensuring data is processed quickly and efficiently.

Enterprises running real-time web and mobile apps struggle with latency, bandwidth, and scalability issues, which negatively impact the total cost of ownership as well as the real-time experience of their users. These issues are inherent to the traditional techniques, such as HTTP polling or long polling, employed to achieve real-time communication using web and application servers. To overcome these issues, we created MigratoryData, a real-time messaging technology leveraging the WebSockets standard, streaming data to and from users over persistent WebSocket connections in milliseconds and with minimal traffic overhead. Unlike other real-time messaging technologies, MigratoryData has been designed to scale to a large number of users. It has been benchmarked to stream real-time data to 10 million concurrent users from a single commodity server.

Baidu Messaging System (BMS) is a distributed and scalable hosting message queue service with high throughputs. It collects massive data from websites, devices, or applications for real-time analysis, such as user browsing, clicks, and searches. BMS is a hosted service based on Apache Kafka. Kafka is a distributed, multi-partition, and multi-replica messaging service. The producer asynchronously interacts with the consumer through the message queue without waiting for each other. Compared with the traditional messaging service. BMS encapsulates the Kafka cluster details and provides them in the form of a hosted service. You can directly use BMS to integrate with massively distributed applications without the consideration of cluster operations and pay-per-use only.

​FairCom MQ combines the benefits of an MQTT broker with the reliability of a dedicated embedded database. Its core persistence layer guarantees safe data transfer between subscribers and publishers, while the no-code configuration capabilities allow easy cross-communication for app development and IoT devices. FairCom MQ frees your data, allowing you to easily gather, push, and pull data wherever you need. You can add new processing capabilities without affecting existing integrations using FairCom MQ’s messaging systems, easily sending your data wherever needed. With guaranteed delivery, even when devices go offline, using MQ’s embedded database, and store-and-forward capabilities means you never miss a message. Eliminate bottlenecks and improve decision-making with parallel processing’s real-time monitoring and notifications between applications. Easily run our plug-and-play broker with simple JSON configurations to keep operations accessible.

With Anypoint MQ, perform advanced asynchronous messaging — such as queueing and pub/sub — with fully hosted and managed cloud message queues and exchanges. As a service of Anypoint Platform™, Anypoint MQ supports environments, business groups, and role-based access control (RBAC) with enterprise-grade functionality.

Apache ActiveMQ® is the most popular open source, multi-protocol, Java-based message broker. It supports industry standard protocols so users get the benefits of client choices across a broad range of languages and platforms. Connect from clients written in JavaScript, C, C++, Python, .Net, and more. Integrate your multi-platform applications using the ubiquitous AMQP protocol. Exchange messages between your web applications using STOMP over websockets. Manage your IoT devices using MQTT. Support your existing JMS infrastructure and beyond. ActiveMQ offers the power and flexibility to support any messaging use-case. There are currently two "flavors" of ActiveMQ available - the well-known "classic" broker and the "next generation" broker code-named Artemis. Once Artemis reaches a sufficient level of feature parity with the "Classic" code-base it will become the next major version of ActiveMQ. Initial migration documentation is available as well as a development roadmap for Artemis.

Apache Pulsar is a cloud-native, distributed messaging and streaming platform originally created at Yahoo! and now a top-level Apache Software Foundation project. Easy to deploy, lightweight compute process, developer-friendly APIs, no need to run your own stream processing engine. Run in production at Yahoo! scale for over 5 years, with millions of messages per second across millions of topics. Built from the ground up as a multi-tenant system. Supports isolation, authentication, authorization and quotas. Configurable replication between data centers across multiple geographic regions. Persistent message storage based on Apache BookKeeper. IO-level isolation between write and read operations. Rest admin API for provisioning, administration, tools and monitoring.