Alternatives to IBM MQ on Cloud

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.

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

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.

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.

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.

Amazon MQ is a cloud-based managed message broker service that utilizes Apache ActiveMQ, simplifying the process of establishing and running message brokers. These brokers facilitate communication and information exchange between various software systems, which may be built with different programming languages and operate on distinct platforms. By managing the provisioning, setup, and upkeep of ActiveMQ, a widely-used open-source message broker, Amazon MQ significantly eases your operational burden. Integrating your existing applications with Amazon MQ is straightforward, as it supports industry-standard APIs and messaging protocols such as JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. This adherence to standards often eliminates the need to alter existing messaging code when transitioning to AWS. With just a few clicks in the Amazon MQ Console, you can provision your broker while ensuring compatibility with version upgrades, allowing you to utilize the latest version supported by Amazon MQ. After the broker is set up, your applications will be able to seamlessly produce and consume messages, streamlining your workflow and enhancing overall efficiency. Additionally, this service provides scalability, allowing you to adjust resources based on your application's needs, ensuring optimal performance at all times.

Amazon Simple Queue Service (SQS) is a fully managed message queuing platform designed to help you decouple and scale microservices, distributed systems, and serverless applications. By removing the complexity and overhead typically associated with message-oriented middleware, SQS allows developers to concentrate on more impactful tasks. With SQS, you can effortlessly send, store, and receive messages between various software components at any scale, ensuring message integrity and independence from other services. You can quickly begin using SQS in just minutes through the AWS console, Command Line Interface, or your preferred SDK, executing three straightforward commands. This service enables the transmission of any data volume at any throughput level while maintaining message reliability and service independence. Additionally, SQS facilitates the decoupling of application components, which allows them to operate and fail independently, ultimately enhancing the fault tolerance of the overall system. By leveraging SQS, organizations can achieve greater resilience and adaptability in their application architecture.

TIBCO provides robust solutions designed to fulfill your requirements for performance, throughput, reliability, and scalability, while also offering diverse technology and deployment alternatives to ensure real-time data accessibility in critical areas. The TIBCO Platform integrates a continuously developing array of your TIBCO solutions, regardless of their hosting environment—be it cloud-based, on-premises, or at the edge—into a cohesive, single experience that simplifies management and monitoring. By doing so, TIBCO supports the creation of solutions vital for the success of major enterprises around the globe, enabling them to thrive in a competitive landscape. This commitment to innovation positions TIBCO as a key player in the digital transformation journey of businesses.

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.

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.

Anypoint MQ enables sophisticated asynchronous messaging options like queueing and pub/sub through fully managed cloud message queues and exchanges. This service, part of the Anypoint Platform™, is designed to accommodate various environments and business groups while incorporating role-based access control (RBAC) for enhanced security and management. It offers enterprise-level features, making it suitable for diverse organizational needs and ensuring seamless communication across applications.

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.

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.

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.

A managed service facilitates two-way communication between IoT devices and Azure, ensuring secure and dependable interaction between your IoT application and its managed devices. With Azure IoT Hub, you have access to a cloud-based backend that can connect almost any device seamlessly. Moreover, you can enhance your solution from the cloud to edge devices through features like per-device authentication, integrated device management, and scalable provisioning options. By utilizing telemetry data from devices to the cloud, you can gain insights into device status and establish message pathways to other Azure services effortlessly, without the need for coding. For cloud-to-device messages, you can reliably send commands and alerts to your connected devices while monitoring message delivery via acknowledgment receipts. The system also allows for automatic resending of messages to address any connectivity issues that may arise. Azure IoT Central goes beyond just proof of concept; it empowers you to create top-tier solutions using a comprehensive hosted IoT application platform, thus fostering innovation in your projects. This combination of features positions Azure as a leading choice for IoT communication solutions.

Leverage Azure Queue Storage to create adaptable applications and distinct functionalities that enhance durability when dealing with substantial workloads. By architecting applications with scalability in mind, various components can function independently, allowing for tailored scaling solutions. Queue Storage provides asynchronous message queuing, facilitating seamless communication between application components across a range of environments, including cloud, desktop, on-premises, and mobile platforms. Implementing Queue Storage enables you to optimize your service deployment effectively. This capability allows applications to handle unexpected surges in traffic, ensuring that servers remain stable during sudden influxes of requests. Additionally, by monitoring the queue length, you can introduce elasticity into your application, deploying or putting additional worker nodes into hibernation as customer demand fluctuates, which ultimately enhances overall performance and efficiency. This approach not only improves responsiveness but also ensures resources are allocated efficiently, maximizing operational effectiveness.

AWS IoT Core enables seamless connectivity between IoT devices and the AWS cloud, eliminating the need for server provisioning or management. Capable of accommodating billions of devices and handling trillions of messages, it ensures reliable and secure processing and routing of communications to AWS endpoints and other devices. This service empowers applications to continuously monitor and interact with all connected devices, maintaining functionality even during offline periods. Furthermore, AWS IoT Core simplifies the integration of various AWS and Amazon services, such as AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service, facilitating the development of IoT applications that collect, process, analyze, and respond to data from connected devices without the burden of infrastructure management. By utilizing AWS IoT Core, you can effortlessly connect an unlimited number of devices to the cloud and facilitate communication among them, streamlining your IoT solutions. This capability significantly enhances the efficiency and scalability of your IoT initiatives.

Google Cloud's Managed Service for Apache Kafka is an efficient and scalable solution that streamlines the deployment, oversight, and upkeep of Apache Kafka clusters. By automating essential operational functions like provisioning, scaling, and patching, it allows developers to concentrate on application development without the burdens of managing infrastructure. The service guarantees high reliability and availability through data replication across various zones, thus mitigating the risks of potential outages. Additionally, it integrates effortlessly with other Google Cloud offerings, enabling the creation of comprehensive data processing workflows. Security measures are robust, featuring encryption for both stored and transmitted data, along with identity and access management, and network isolation to keep information secure. Users can choose between public and private networking setups, allowing for diverse connectivity options that cater to different requirements. This flexibility ensures that businesses can adapt the service to meet their specific operational needs efficiently.

Utilize Service Bus for a highly dependable cloud messaging solution that facilitates communication between applications and services, even during offline periods. This comprehensive managed service is accessible in all Azure regions, relieving you of the complexities associated with server management and licensing concerns. Enhance the interaction between clients and servers by employing asynchronous operations, which also support structured first-in, first-out (FIFO) messaging and publish/subscribe functionalities. By harnessing asynchronous messaging patterns, you can effectively scale your enterprise applications with reliability. Service Bus messaging allows for seamless integration with cloud resources like Azure SQL Database, Azure Storage, and Web Apps, ensuring smooth performance during fluctuating loads and providing the resilience needed to withstand intermittent outages. You can boost availability by creating intricate messaging topologies with advanced routing features, enabling messages to be sent to multiple recipients while efficiently distributing message delivery to downstream systems on a larger scale. This approach not only enhances operational efficiency but also ensures that your messaging infrastructure can adapt to the dynamic needs of your applications.

Apache Kafka® is a robust, open-source platform designed for distributed streaming. It can scale production environments to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data with hundreds of thousands of partitions. The system allows for elastic growth and reduction of both storage and processing capabilities. Furthermore, it enables efficient cluster expansion across availability zones or facilitates the interconnection of distinct clusters across various geographic locations. Users can process event streams through features such as joins, aggregations, filters, transformations, and more, all while utilizing event-time and exactly-once processing guarantees. Kafka's built-in Connect interface seamlessly integrates with a wide range of event sources and sinks, including Postgres, JMS, Elasticsearch, AWS S3, among others. Additionally, developers can read, write, and manipulate event streams using a diverse selection of programming languages, enhancing the platform's versatility and accessibility. This extensive support for various integrations and programming environments makes Kafka a powerful tool for modern data architectures.

Amazon Managed Streaming for Apache Kafka (Amazon MSK) simplifies the process of creating and operating applications that leverage Apache Kafka for handling streaming data. As an open-source framework, Apache Kafka enables the construction of real-time data pipelines and applications. Utilizing Amazon MSK allows you to harness the native APIs of Apache Kafka for various tasks, such as populating data lakes, facilitating data exchange between databases, and fueling machine learning and analytical solutions. However, managing Apache Kafka clusters independently can be quite complex, requiring tasks like server provisioning, manual configuration, and handling server failures. Additionally, you must orchestrate updates and patches, design the cluster to ensure high availability, secure and durably store data, establish monitoring systems, and strategically plan for scaling to accommodate fluctuating workloads. By utilizing Amazon MSK, you can alleviate many of these burdens and focus more on developing your applications rather than managing the underlying infrastructure.

Google Cloud Pub/Sub offers a robust solution for scalable message delivery, allowing users to choose between pull and push modes. It features auto-scaling and auto-provisioning capabilities that can handle anywhere from zero to hundreds of gigabytes per second seamlessly. Each publisher and subscriber operates with independent quotas and billing, making it easier to manage costs. The platform also facilitates global message routing, which is particularly beneficial for simplifying systems that span multiple regions. High availability is effortlessly achieved through synchronous cross-zone message replication, coupled with per-message receipt tracking for dependable delivery at any scale. With no need for extensive planning, its auto-everything capabilities from the outset ensure that workloads are production-ready immediately. In addition to these features, advanced options like filtering, dead-letter delivery, and exponential backoff are incorporated without compromising scalability, which further streamlines application development. This service provides a swift and dependable method for processing small records at varying volumes, serving as a gateway for both real-time and batch data pipelines that integrate with BigQuery, data lakes, and operational databases. It can also be employed alongside ETL/ELT pipelines within Dataflow, enhancing the overall data processing experience. By leveraging its capabilities, businesses can focus more on innovation rather than infrastructure management.

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.

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

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.

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.

A modern and innovative message queue and message broker designed as a lightweight container to operate seamlessly within Kubernetes, recognized in the CNCF ecosystem, and capable of native integration with cloud-native technologies. This solution is tailored for developers, offering comprehensive messaging patterns while ensuring scalability, high availability, and robust security. It enables rapid microservice connections through a diverse array of connectors, all without requiring any coding skills. With user-friendly SDKs and a removal of predefined topics, channels, brokers, and routes, it simplifies the messaging landscape. The Build & Deploy feature allows users to configure KubeMQ components effortlessly with just a few clicks, followed by deployment using the kubectl command line. Additionally, it facilitates quick Kubernetes deployment, taking under a minute, making it exceptionally developer-friendly by addressing various challenges faced by developers and DevOps teams alike. Overall, this platform streamlines the messaging process and enhances productivity in cloud-native environments.

Engaging applications captivate users while motivating developers to innovate. To meet the growing demands of the digital landscape, consider utilizing the DataStax Astra Streaming service platform. This cloud-native platform for messaging and event streaming is built on the robust foundation of Apache Pulsar. With Astra Streaming, developers can create streaming applications that leverage a multi-cloud, elastically scalable architecture. Powered by the advanced capabilities of Apache Pulsar, this platform offers a comprehensive solution that encompasses streaming, queuing, pub/sub, and stream processing. Astra Streaming serves as an ideal partner for Astra DB, enabling current users to construct real-time data pipelines seamlessly connected to their Astra DB instances. Additionally, the platform's flexibility allows for deployment across major public cloud providers, including AWS, GCP, and Azure, thereby preventing vendor lock-in. Ultimately, Astra Streaming empowers developers to harness the full potential of their data in real-time environments.

Apache RocketMQ™ serves as a comprehensive messaging engine and a nimble data processing platform, renowned for its financial-grade reliability that is critical in transaction core processes. It effortlessly integrates with various surrounding ecosystems, including microservices, real-time analytics, and data lakes. With its configurable and low-code approach, it enables seamless data integration across systems, facilitating the creation of streaming ETL processes, data pipelines, and extensive data lakes. This stream computing solution is characterized by its lightweight design, exceptional scalability, high performance, and a plethora of functionalities. It supports diverse message types and incorporates robust message governance techniques to cater to serverless application needs with efficient message granularity and load balancing. The simplicity of its architecture, coupled with a wide array of business features and impressive scalability, has led to widespread adoption among enterprise developers and cloud service providers alike, making it a favored choice in the industry. Its ability to adapt and perform in various contexts further solidifies Apache RocketMQ's position as a vital tool in modern data-driven applications.

CMQ is capable of handling the transmission and reception of tens of millions of messages while also allowing for the retention of an infinite number of messages. With its remarkable throughput, it can manage over 100,000 queries per second (QPS) within a single cluster, fully catering to the messaging requirements of your enterprise. In the event that a message is returned to the user, CMQ ensures reliability by creating three distinct copies of the message data across various physical servers, allowing for swift data migration through its backend replication system in the case of server failure. Furthermore, CMQ provides secure access via HTTPS and leverages Tencent Cloud's comprehensive security measures to safeguard against network threats and ensure the confidentiality of your business information. Additionally, it facilitates the management of master/sub-accounts and collaborator accounts, allowing for precise control over resource access, which enhances overall security and operational efficiency. With such robust features, CMQ proves to be an indispensable tool for businesses looking to optimize their messaging infrastructure.

Streamline your event-driven applications with Event Grid, a unified service that efficiently handles the routing of events from any source to any endpoint. Built for exceptional availability, reliable performance, and flexible scalability, Event Grid allows you to concentrate on your application's functionality instead of the underlying infrastructure. It removes the need for polling, thereby cutting down on both costs and delays. Utilizing a pub/sub architecture with straightforward HTTP-based event transmission, Event Grid separates event producers from consumers, enabling the creation of scalable serverless solutions, microservices, and distributed architectures. You can achieve significant scalability on demand while receiving almost instantaneous notifications about the changes that matter to you. Enhance your application development with reactive programming principles, leveraging assured event delivery and the robust uptime provided by cloud technologies. Furthermore, you can create more complex application scenarios by integrating a variety of potential event sources and destinations, enhancing the overall capability of your solutions. Ultimately, Event Grid empowers developers to innovate and respond to changing requirements swiftly and efficiently.

Google Cloud's Eventarc is a comprehensive, managed solution that empowers developers to establish event-driven architectures by channeling events from multiple sources to designated endpoints. It captures events generated within a system and forwards them to chosen destinations, promoting the development of loosely connected services that respond aptly to changes in state. Supporting events from a range of Google Cloud services, bespoke applications, and external SaaS providers, Eventarc offers significant versatility in designing event-driven applications. Developers have the capability to set up triggers that direct events to various endpoints, such as Cloud Run services, which enhances the responsiveness and scalability of application structures. Furthermore, Eventarc guarantees secure event transmission by incorporating Identity and Access Management (IAM), which facilitates meticulous access control over the processes of event ingestion and handling. This robust security feature ensures that only authorized users can manage events, thereby maintaining the integrity and confidentiality of the data involved.

Azure Web PubSub is a comprehensive, fully managed service that empowers developers to create real-time web applications leveraging WebSockets alongside the publish-subscribe architecture. It facilitates both native and serverless WebSocket connections, ensuring scalable, two-way communication while eliminating the complexities of infrastructure management. This service is particularly well-suited for diverse applications, including chat platforms, live streaming, and Internet of Things (IoT) dashboards. Additionally, it supports real-time publish-subscribe messaging, enhancing the development process for web applications with robust WebSocket capabilities. The service is designed to accommodate a large number of client connections and maintain high availability, allowing applications to support countless concurrent users effortlessly. Furthermore, it provides a range of client SDKs and programming language support, ensuring smooth integration into pre-existing applications. To enhance data security and access management, built-in features such as Azure Active Directory integration and private endpoints are also included, providing developers with peace of mind as they build and scale their applications. This combination of features makes Azure Web PubSub a compelling choice for those looking to develop interactive and responsive web solutions.

Experience Apache Kafka offered as a fully managed service that avoids vendor lock-in while providing comprehensive features for constructing your streaming pipeline. You can establish a fully managed Kafka instance in under 10 minutes using our intuitive web console or programmatically through our API, CLI, Terraform provider, or Kubernetes operator. Seamlessly integrate it with your current technology infrastructure using more than 30 available connectors, and rest assured with comprehensive logs and metrics that come standard through our service integrations. This fully managed distributed data streaming platform can be deployed in any cloud environment of your choice. It’s perfectly suited for applications that rely on event-driven architectures, facilitating near-real-time data transfers and pipelines, stream analytics, and any situation where swift data movement between applications is essential. With Aiven’s hosted and expertly managed Apache Kafka, you can effortlessly set up clusters, add new nodes, transition between cloud environments, and update existing versions with just a single click, all while keeping an eye on performance through a user-friendly dashboard. Additionally, this service enables businesses to scale their data solutions efficiently as their needs evolve.

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.

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.

FioranoMQ® serves as Fiorano's robust enterprise messaging infrastructure, enabling the seamless and secure integration of diverse IT systems, which in turn enhances operational efficiency, business agility, and overall performance. With its extensive support for standard-based communication, connectivity, and transformation, the FioranoMQ JMS server effectively reduces reliance on proprietary systems. This powerful communication framework can be easily expanded, facilitating real-time data delivery across various applications, platforms, partners, and customers. As the preferred messaging middleware for mission-critical operations among global leaders, Fiorano provides an innovative high-performance, low-latency solution tailored for the digital enterprise. Additionally, security descriptors empower users with precise control over API access for specific end-users and user groups, while also decreasing the necessary hardware investment required to achieve superior performance. Its versatility ensures that organizations can adapt to changing demands without compromising on efficiency.

RTI offers a specialized software connectivity framework tailored for advanced machines and tangible systems. By utilizing RTI Connext DDS, it fosters an intelligent architecture that facilitates real-time information sharing, enabling large-scale applications to function cohesively. RTI stands out globally for its ability to connect sophisticated, distributed systems. These interconnected systems enhance healthcare services, increase road safety, optimize energy consumption, and uphold individual freedoms. Built on the Connext DDS Databus, RTI’s software ensures that applications can share data instantaneously while maintaining the uninterrupted availability and security that are critical for mission-essential operations. The Connext Databus allows these applications to collaborate seamlessly as a unified entity, which significantly lowers costs associated with development, integration, and maintenance. RTI Connext represents a pioneering intelligent connectivity framework that is specifically designed to manage, oversee, secure, and enhance the performance of complex distributed systems, highlighting the company's commitment to innovation in this domain. By doing so, RTI not only addresses current technological challenges but also sets the stage for future advancements in connectivity solutions.

Amazon Simple Notification Service (SNS) is a comprehensive messaging platform designed for both system-to-system and app-to-person (A2P) communications. It facilitates interaction between systems through a publish/subscribe (pub/sub) model, allowing messages to flow seamlessly between independent microservice applications or directly to users via SMS, mobile push notifications, and email. The pub/sub capabilities for system-to-system interactions support topics that enable high-throughput, push-based, many-to-many messaging. By leveraging Amazon SNS topics, your publishing systems can efficiently distribute messages to a wide array of subscriber systems or customer endpoints, including Amazon SQS queues, AWS Lambda functions, and HTTP/S, thus allowing for concurrent processing. Additionally, the A2P messaging feature empowers you to send messages to users on a large scale, utilizing either a pub/sub model or direct-publish messages through a unified API. This flexibility enhances communication strategies for businesses aiming to engage their users effectively.

FairCom MQ merges the advantages of an MQTT broker with the dependability of a dedicated embedded database, ensuring that data is transferred securely between publishers and subscribers through its robust persistence layer. The platform's no-code configuration features simplify app development and facilitate seamless communication among IoT devices. By utilizing FairCom MQ, users can effortlessly gather, push, and pull data as needed, empowering them to manage their information more effectively. Additionally, the messaging systems allow for the integration of new processing capabilities without disrupting existing setups, ensuring that data can be routed efficiently. With its embedded database and store-and-forward functionalities, FairCom MQ guarantees message delivery even during device outages, ensuring that no critical information is ever lost. The inclusion of parallel processing enhances real-time monitoring and notifications, thus eliminating bottlenecks and improving decision-making across applications. Furthermore, our user-friendly plug-and-play broker can be easily operated through straightforward JSON configurations, making it accessible for users of all technical backgrounds. Ultimately, FairCom MQ stands out as a powerful solution for modern data management needs.

AliwareMQ for IoT serves as a specialized messaging platform tailored for the Internet of Things and mobile Internet. This service is versatile, finding applications in various fields such as live streaming, financial transactions, intelligent food services, instant communication, mobile applications, smart gadgets, and connected vehicles. Supporting various protocols like MQTT and WebSocket, Message Queue for MQTT facilitates bidirectional communication between devices and cloud services. Consequently, this allows for the exchange of messages across diverse business models such as C2C, C2B, and B2C, effectively realizing the concept of the Internet of Everything. By leveraging such capabilities, organizations can enhance their operational efficiency and user engagement across different sectors.

Lightstreamer acts as an event broker that is finely tuned for the internet, providing a smooth and instantaneous flow of data across online platforms. In contrast to conventional brokers, it adeptly manages the challenges posed by proxies, firewalls, disconnections, network congestion, and the inherent unpredictability of web connectivity. Its advanced streaming capabilities ensure that real-time data delivery is maintained, always finding efficient and reliable pathways for your information. Lightstreamer's technology is not only well-established but also at the cutting edge, continually adapting to remain a leader in the field of innovation. With a solid history and extensive practical experience, it guarantees dependable and effective data transmission. Users can count on Lightstreamer to provide unmatched reliability in any situation, making it an invaluable tool for real-time communication needs. In an ever-evolving digital landscape, Lightstreamer stands out as a trusted partner for delivering data seamlessly.

EventBridge serves as a serverless event bus that integrates various Alibaba Cloud services, custom applications, and SaaS applications, functioning as a central hub for event management. It adheres to the CloudEvents 1.0 specification, allowing for efficient routing of events between the connected services and applications. By utilizing EventBridge, developers can create loosely coupled and distributed event-driven architectures that enhance scalability and resilience. The platform offers detailed event rule management features, allowing users to create, update, and query rules, as well as enable or disable them as needed. In addition, it supports a continually expanding array of events from various Alibaba Cloud services. With its region-specific and cross-zone distributed cluster deployments, EventBridge boasts robust disaster recovery capabilities while ensuring service availability of up to 99.95%. Furthermore, it provides essential event governance features, including event flow control, replay mechanisms, and retry policies, ensuring that event processing is both reliable and efficient. This comprehensive approach to event management makes EventBridge a powerful tool for developers looking to streamline their applications and services.

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.

Aiven takes the reins on your open-source data infrastructure hosted in the cloud, allowing you to focus on what you excel at: developing applications. While you channel your energy into innovation, we expertly handle the complexities of managing cloud data infrastructure. Our solutions are entirely open source, providing the flexibility to transfer data between various clouds or establish multi-cloud setups. You will have complete visibility into your expenses, with a clear understanding of costs as we consolidate networking, storage, and basic support fees. Our dedication to ensuring your Aiven software remains operational is unwavering; should any challenges arise, you can count on us to resolve them promptly. You can launch a service on the Aiven platform in just 10 minutes and sign up without needing to provide credit card information. Simply select your desired open-source service along with the cloud and region for deployment, pick a suitable plan—which includes $300 in free credits—and hit "Create service" to begin configuring your data sources. Enjoy the benefits of maintaining control over your data while leveraging robust open-source services tailored to your needs. With Aiven, you can streamline your cloud operations and focus on driving your projects forward.