Best Message Queue Software in South America

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.

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 data 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. EMQX Enterprise: The World’s # 1 Scalable MQTT Messaging Platform -100M concurrent MQTT connections -1M/s messages throughput under 1ms latency -Business-critical reliability, Up to 99.99% SLA -Integrate IoT data seamlessly with over 40 cloud services and enterprise systems EMQX Cloud: Fully Managed MQTT Service for IoT - Scale as you need, pay as you go - Flexible and rich IoT data integration up to 40+ choices - Run in 19 regions across AWS, GCP, and Microsoft Azure - 100% MQTT

Open Automation Software IIoT platform Windows and Linux allows you to liberate your Industry4.0 data. OAS is an unlimited IoT Gateway that works with Windows, Linux, Raspberry Pi 4 and Windows IoT Core. It can also be used to deploy Docker containers. HMI visualizations for web, WPF, WinForm C#, and VB.NET applications. Log data and alarms to SQL Server and MS Access, SQL Server, Oracle and MS Access, MySQL and Azure SQL, PostgreSQL and Cassandra. MQTT Broker and Client interface, as well as cloud connectivity to Azure IoT Gateway and AWS IoT Gateway. Remote Excel Workbooks can be used to read and write data. Notifications of alarm sent to voice, SMS text and email. Access to programmatic information via REST API and.NET Allen Bradley ControlLogix and CompactLogix, GuardLogix. Micro800, MicroLogix. MicroLogix. SLC 500. PLC-5. Siemens S7-220, S7-3300, S7-405, S7-490, S7-1200, S7-1500, and S7-1500 Modbus TCP and Modbus RTU are Modbus ASCII and Modbus TCP for Master and Slave communication. OPTO-22, MTConnect and OPC UA, OPC DA.

RabbitMQ is a lightweight solution that can be effortlessly deployed both on-premises and in cloud environments. It is compatible with various messaging protocols, making it versatile for different use cases. Furthermore, RabbitMQ can be configured in distributed and federated setups, which cater to demanding scalability and high availability needs. With a vast user base, it stands out as one of the leading open-source message brokers available today. Organizations ranging from T-Mobile to Runtastic leverage RabbitMQ, showcasing its adaptability for both startups and large enterprises. Additionally, RabbitMQ is compatible with numerous operating systems and cloud platforms, offering a comprehensive suite of development tools for popular programming languages. Users can deploy RabbitMQ using tools like Kubernetes, BOSH, Chef, Docker, and Puppet, facilitating seamless integration into their existing workflows. Developers can also create cross-language messaging solutions using their preferred programming languages, such as Java, .NET, PHP, Python, JavaScript, Ruby, and Go, enhancing its utility across various projects.

Apache Kafka® is a robust, open-source platform designed for distributed streaming. It allows for the scaling of production clusters to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data across hundreds of thousands of partitions. The system provides the flexibility to seamlessly expand or reduce storage and processing capabilities. It can efficiently stretch clusters over various availability zones or link distinct clusters across different geographical regions. Users can process streams of events through a variety of operations such as joins, aggregations, filters, and transformations, with support for event-time and exactly-once processing guarantees. Kafka features a Connect interface that readily integrates with numerous event sources and sinks, including technologies like Postgres, JMS, Elasticsearch, and AWS S3, among many others. Additionally, it supports reading, writing, and processing event streams using a wide range of programming languages, making it accessible for diverse development needs. This versatility and scalability ensure that Kafka remains a leading choice for organizations looking to harness real-time data streams effectively.

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

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.

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.

An MQTT Broker designed with enthusiasm to meet all your requirements for deploying and scaling IoT applications. It features a REST API, a comprehensive dashboard with customizable widgets, and an extensive data storage solution, among other capabilities. Users can quickly visualize a snapshot of their IoT devices, monitoring client connections and disconnections, as well as critical data through various dashboard widgets. The system also provides alerts and color-coded indicators based on different value triggers. A robust rules engine is included to convert MQTT messages, facilitating streamlined M2M communication automation. This engine supports event and timer-based rules, enabling users to define data patterns and automate corresponding actions. For secure device communication, a publish and subscribe messaging model is implemented with dual layers of security, employing SSL/TLS for connectivity and optional username/password authentication. Additionally, web security measures are in place for data viewing. To ensure high availability, the broker can operate multiple message brokers simultaneously, guaranteeing efficient message collection and publication from devices. This architecture assures a remarkable 99.99% success rate in data collection, ensuring reliability regardless of software challenges. Moreover, the system's flexibility allows for seamless integration with various IoT applications and services.

Experience the versatility of data management through a SQL-driven rule engine that seamlessly integrates with eKuiper, facilitating edge stream processing. This approach significantly lowers the expenses associated with integrating event-driven WebHooks into edge computing applications. The system is designed for easy maintenance, equipped with HTTP APIs that are friendly to EdgeOps. NanoMQ, though compact, packs a powerful punch, boasting a comprehensive set of features that allow it to compete effectively despite its small footprint. Its Task Layer utilizes a built-in actor model with support for thread-level parallelism, which enhances scalability on contemporary symmetric multiprocessing systems. Effortlessly expand your capabilities to utilize multiple cores while minimizing CPU consumption in modern SMP environments. Furthermore, NanoMQ is highly compatible and portable across any POSIX-compliant platform, with a minimal booting footprint of under 200Kb when operating with its basic feature set, making it an optimal choice for resource-conscious applications.

Depending on the volume of requests per second (RPS), you can opt for standard or FIFO (first in, first out) queues. Familiar tools are available for engaging with Amazon SQS, including the HTTP API, CLI, and various programming language libraries. To enhance performance, Message Queue utilizes high-speed NVMe-enabled solid-state drives for message storage. Additionally, messages are duplicated across various geographically distributed availability zones, which guarantees reliable storage and minimizes latency, complete with write confirmations. The integration of Message Queue with cloud functions allows a trigger to activate a function that processes messages from the queue. You can create a queue to monitor statistics such as message count and call duration. Consumers have the capability to read messages from a standard queue in a random sequence. Although standard queues ensure that each message is delivered at least once, there are rare instances where a message may be received twice. For optimal throughput, it is advisable to use standard queues, making them an ideal choice for high-demand scenarios. Furthermore, the flexibility of these queues allows for efficient scaling as your application's needs evolve.

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.

MQ is a reliable way for components and services to communicate with each other. MQ is highly available, persistent by design, and with best-effort one time delivery. It is the most industrial-strength cloud-native solution to modern application architecture. A rich set of features is available, including push and pull queues as well as long polling, error queues and alerts and triggers. MQ is a global service that can run on multiple clouds and availability zones. Advanced users with critical messaging requirements can have queues point to other zones in the event of an outage. This is done without changing any code. It runs on top of cloud infrastructure and makes use of multiple high-availability data centres. MQ scales without you having to manually add or maintain resources. For efficient and simple cloud use, MQ uses HTTPS/Rest APIs. For maximum flexibility and configuration, built with MQ standards.

Massive amounts data can be moved as messages between services, applications and systems at any one time. If an application isn’t available or a service interruption occurs, messages and transactions may be lost or duplicated. This can cost businesses time and money. IBM has refined IBM MQ over the past 25 years. MQ allows you to hold a message in a queue until it is delivered. MQ moves data once, even file data, to avoid competitors delivering messages twice or not at the right time. MQ will never lose a message. IBM MQ can be run on your mainframe, in containers, in public or private clouds or in containers. IBM offers an IBM-managed cloud service (IBM MQ Cloud), hosted on Amazon Web Services or IBM Cloud, as well as a purpose-built Appliance (IBM MQ Appliance), to simplify deployment and maintenance.

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.

ZeroMQ, often referred to as ØMQ, 0MQ, or zmq, may appear to be just an embeddable networking library, yet it functions as a robust concurrency framework. It provides sockets that transmit atomic messages through various transport methods such as in-process, inter-process, TCP, and multicast. Users can establish N-to-N socket connections utilizing patterns like fan-out, publish-subscribe, task distribution, and request-reply. Its speed makes it suitable as the underlying framework for clustered applications, while its asynchronous I/O architecture enables the development of scalable multicore applications designed as asynchronous message-processing tasks. Furthermore, ZeroMQ supports a wide array of language APIs and is compatible with most operating systems, making it a versatile choice for developers. This flexibility allows for innovative solutions across diverse programming environments.

IBM® Messages for RabbitMQ on IBM Cloud® serves as a versatile broker that accommodates various messaging protocols, enabling users to efficiently route, track, and queue messages with tailored persistence levels, delivery configurations, and publish confirmations. With the integration of infrastructure-as-code tools like IBM Cloud Schematics utilizing Terraform and Red Hat® Ansible®, users can achieve global scalability without incurring additional costs. IBM® Key Protect allows customers to use their own encryption keys, ensuring enhanced security. Each deployment features support for private networking, in-database auditing, and various other functionalities. The Messages for RabbitMQ service enables independent scaling of both disk space and RAM to meet specific needs, allowing for seamless growth that is just an API call away. It is fully compatible with RabbitMQ APIs, data formats, and client applications, making it an ideal drop-in replacement for existing RabbitMQ setups. The standard setup incorporates three data members configured for optimal high availability, and deployments are strategically distributed across multiple availability zones to enhance reliability and performance. This comprehensive solution ensures that businesses can effectively manage their messaging needs while maintaining flexibility and security.

IBM® MQ on Cloud represents the pinnacle of enterprise messaging solutions, ensuring secure and dependable communication both on-premises and across various cloud environments. By utilizing IBM MQ on Cloud as a managed service, organizations can benefit from IBM's management of upgrades, patches, and numerous operational tasks, which allows teams to concentrate on integrating it with their applications. For instance, if your company operates a mobile application in the cloud to streamline e-commerce transactions, IBM MQ on Cloud can effectively link the on-premises inventory management system with the consumer-facing app, offering users immediate updates regarding product availability. While your core IT infrastructure is located in San Francisco, the processing of packages occurs in a facility situated in London. IBM MQ on Cloud ensures that messages are transmitted reliably between these two locations. It enables the London office to securely encrypt and send data regarding each package that requires tracking, while allowing the San Francisco office to receive and manage that information with enhanced security measures. Both locations can confidently rely on the integrity of the information exchanged, ensuring that it remains intact and accessible. This level of communication is crucial for maintaining operational efficiency and trust across global business functions.

Customers today demand services that operate with incredible speed, necessitating designs that prioritize real-time functionality. Embracing real-time capabilities enables the creation of innovative services and facilitates the development of new business models. Features like chat, bots, live interactions, and the Internet of Things have become essential components that customers now expect as standard. To keep your developers satisfied, it's crucial to support the two primary real-time standards without having to make a difficult decision. By endorsing these standards, you ensure your solutions are future-proof, allowing for seamless integration of both XMPP and MQTT, with the flexibility to switch between them as needed. Leverage reliable open-source libraries across various programming languages to maintain independence from any single vendor. This approach enables you to experiment with and switch between different servers and services effortlessly. Opt for a SaaS platform that can scale with your evolving requirements, accommodating growth from your first user to a billion users on the same platform. Given that real-time systems are inherently designed to avoid downtime, investing in state-of-the-art security measures and compliance protocols is essential. Additionally, such systems should be monitored and supported around the clock to ensure optimal performance and reliability. With these strategies, you can position your business for success in the fast-paced digital landscape.

Neglecting IBM i messages and events can lead to delays in website order processing, inventory management, and account transactions, which can create significant issues. Robot Console proactively scans message queues to identify factors that may affect the performance of systems or applications. In cases where issues arise, Robot Console is capable of either resolving them automatically or escalating the matter, allowing you to focus on exceptions rather than everyday problems. This powerful message management solution streamlines your workflow, granting you more time to concentrate on what truly matters in your business. Effective availability monitoring extends well beyond just the QSYSOPR message queue, ensuring that your business users consistently have access to the critical system resources and applications they depend on daily. Additionally, Robot Console keeps an eye on various system resources including lines, ports, subsystems, and logs such as QHST, QAUDJRN, or FTP requests at designated intervals. If it identifies any issues, Robot Console can swiftly intervene, promoting higher uptime and ensuring that business operations continue seamlessly. With this level of oversight, you can rest assured that your systems are functioning optimally.

Eclipse Mosquitto is a message broker that is open source and licensed under EPL/EDL, designed to support various versions of the MQTT protocol, including 5.0, 3.1.1, and 3.1. This broker is notably lightweight, making it ideal for deployment on a wide range of devices, from low-power single-board computers to robust server systems. The MQTT protocol itself offers an efficient way to handle messaging through a publish/subscribe architecture, which is particularly well-suited for applications in the Internet of Things, enabling communication with low-power sensors or mobile devices like smartphones, embedded systems, and microcontrollers. In addition to the broker, the Mosquitto project also includes a C library that facilitates the creation of MQTT clients, alongside the widely used command line clients, mosquitto_pub and mosquitto_sub, which enhance user interaction with the MQTT protocol. Overall, Mosquitto serves as a versatile tool for developers aiming to implement messaging solutions in a variety of applications.

Design and implement event-driven API integration flows that support many-to-many connections between various SaaS, ERP, CRM, and third-party applications. By linking your enterprise systems with those of your partners, you can enhance the efficiency of your operations. Take advantage of top-notch integration technology offered at unbeatable prices. Utilize the advanced capabilities of modern technologies such as containers and microservices, all within a user-friendly no-code, drag-and-drop interface. Address frequent business challenges like Hire2Retire, Quote to Cash, Service Fulfillment, and Data lake creation with pre-built solutions that save time and effort. Additionally, develop tailored and intricate business workflows that span multiple enterprise applications, allowing you to gain a competitive edge and optimize overall business performance. This approach not only simplifies integration but also empowers teams to innovate and respond swiftly to market demands.

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.

Infrared360® offers a comprehensive suite for Administration, Monitoring, Load Testing, Auditing, Statistical Reporting, and Self-Service tailored for Enterprise middleware environments. With the rise of cloud platforms, containers, and other contemporary distributed architectures, it is essential to meet your Service Level Objectives without compromise. In contrast to alternative solutions that merely log data and rely on average-based alerts—which can lead to significant delays—Infrared360® delivers True Real-Time™ monitoring and proactive notifications about potential issues, ensuring that your middleware operates at peak performance. Its Auto-Discovery feature identifies any newly created objects across all operating systems, including Queue Sharing groups and transmission queues, allowing for immediate verification of the correct configuration of allocated objects for application and subsystem availability. This capability enhances operational efficiency by providing instant insights into the state of your middleware infrastructure.

Amazon Simple Queue Service (SQS) is a fully managed messaging platform that facilitates the decoupling and scaling of microservices, distributed systems, and serverless applications. By streamlining the complexities and management burdens associated with traditional message-oriented middleware, SQS allows developers to concentrate on their core tasks. With SQS, it's possible to send, store, and receive messages between various software components at any scale, ensuring that no messages are lost and that other services do not need to be operational. Getting started with SQS is quick and straightforward, as users can utilize the AWS console, Command Line Interface, or their preferred SDK to execute just three simple commands. This service enables the transmission of large volumes of data with high throughput while maintaining message integrity and independence from other services. Additionally, SQS helps to decouple application components, allowing them to operate and fail separately, which ultimately enhances the system's overall fault tolerance and reliability. By leveraging SQS, your applications can achieve greater resilience and efficiency in handling messaging tasks.