Akamai IoT Edge Connect Description
IoT Edge Connect offers a protocol for real-time communication and data processing specifically designed for devices connected to Akamai. Utilizing both the message queuing telemetry transport (MQTT) and HTTP protocols, it efficiently ingests messages while ensuring that data is processed and sent back to devices instantly through a publish-subscribe model. This MQTT-centric system enables seamless reading from and writing to message queues, automatically delivering messages organized by topics. Additionally, the HTTP interface allows for an alternative method of accessing the same message queues that the MQTT protocol utilizes, enabling clients to request messages in topic form via a REST API. Overall, IoT Edge Connect enhances connectivity and data flow between devices and the cloud, providing flexibility in how messages are handled and delivered.
Akamai IoT Edge Connect Alternatives
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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TelemetryTV is a powerful platform for digital signage that allows organizations to connect with audiences, generate awareness and give voice to their communities and teams.
TelemetryTV lets you broadcast dynamic content by streaming video, images and social feeds to all your displays, wherever they may be.
TelemetryTV powers internal communications and marketing at Starbucks, Amazon and Stanford University.
Our success is based on being flexible, open to communication, collaborative, and open to collaboration. We believe in continuous learning, challenging the status-quo, and listening to customers.
We are moving towards a world in which our walls will eventually talk. This begs the question: What do you want them saying?
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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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Eclipse Mosquitto
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.
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Pricing
Free Trial:
Yes
Integrations
API:
Yes, Akamai IoT Edge Connect has an API
No Integrations at this time
Company Details
Company:
Akamai
Year Founded:
1998
Headquarters:
United States
Website:
learn.akamai.com/en-us/products/web_performance/iot_edge_connect.html
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