Amazon MQ Description
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 MQ Alternatives
MuleSoft provides a unified platform for enterprises that need to connect, manage, govern, and orchestrate AI agents, APIs, models, applications, and data at scale. It serves as an agentic control plane that helps organizations bring structure and visibility to fast-growing AI environments. Through MuleSoft Agent Fabric, companies can govern and coordinate agents regardless of where they were built, helping improve performance, compliance, and return on investment. MuleSoft Omni Gateway extends control across APIs, agents, and models, allowing teams to manage development, deployment, security, and policy enforcement from a single place. The platform also includes tools such as Agent Registry and Agent Scanners to identify, catalog, and monitor agents across major AI platforms. With Agent Broker and A2A support, MuleSoft helps agents collaborate across systems while giving businesses more control over how tasks are routed and completed. Organizations can also use MuleSoft MCP Support and Anypoint Connectors to transform existing applications, APIs, and systems into resources that AI agents can use. For developers, MuleSoft offers options ranging from natural language building with MuleSoft Vibes to pro-code development with Anypoint Code Builder. MuleSoft is designed for enterprises that want to scale agentic AI securely while maintaining governance, integration, observability, and operational consistency.
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The HiveMQ Platform provides a scalable, reliable data backbone with an event-driven MQTT architecture. Here are a few highlights:
1. MQTT Broker: At the heart of the HiveMQ platform is a fully MQTT-compliant broker purpose-built for fast, reliable, bi-directional data movement between IoT devices and enterprise systems.
2. Edge Data Integration: HiveMQ Edge seamlessly integrates edge data by converting industrial protocols into standardized MQTT, enabling an interoperable IIoT infrastructure.
3. IoT Streaming Governance: Data Hub transforms data in flight, passing only the most relevant, contextualized data to cloud and enterprise systems.
4. UNS & IT/OT convergence Enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.
5. Distributed Data Intelligence: HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most.
6. Maximum Interoperability: Runs anywhere on-premises or in public or private clouds. Efficiently connects to streaming applications, databases and data lakes with a Java SDK to build your own
7. Scalability to Support Growth: Elastic scaling with automatic data balancing and smart message distribution. Proven benchmark of up to 200M active clients with 1.8B messages/hour
8. Business Critical Reliability: Zero message loss with persistence to disk and offline queuing. No single point of failure due to masterless cluster architecture and zero downtime upgrades
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Open Automation Software
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.
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CloudAMQP
CloudAMQP is a managed cloud messaging platform that delivers hosted RabbitMQ and LavinMQ services for organizations that require reliable message queuing and event-driven communication. The platform enables developers to build scalable applications using a variety of messaging protocols, including AMQP, MQTT, STOMP, HTTP, and WebSocket-based communication. CloudAMQP provides the infrastructure needed to deploy, monitor, secure, and maintain message brokers without requiring businesses to manage servers or complex messaging environments internally. Its services support a wide range of use cases, including microservices architectures, IoT applications, distributed systems, background job processing, and real-time data exchange. The platform includes features such as monitoring dashboards, diagnostics tools, metrics collection, logging integrations, API access, networking controls, webhooks, and cloud marketplace integrations. Support for MQTT makes CloudAMQP particularly useful for connected devices and bandwidth-sensitive applications that require lightweight communication protocols. Users can also take advantage of advanced RabbitMQ and LavinMQ features such as delayed messages, federation, persistence, stream queues, and protocol bridging. Security and access management capabilities help organizations maintain control over messaging environments while supporting scalable growth. By offering managed messaging services with enterprise-grade reliability, CloudAMQP allows development teams to focus on building applications rather than maintaining messaging infrastructure.
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Pricing
Free Trial:
Yes
Integrations
Company Details
Company:
Amazon
Year Founded:
1994
Headquarters:
United States
Website:
aws.amazon.com/amazon-mq/
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Webinars
In Person
Training Videos
Customer Support
Business Hours
Online Support
Amazon MQ Features and Options
Message Queue Software
Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling
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