Best IoT Edge Platforms
In this post you can find a random list of Best IoT Edge Platforms. Edge computing brings data processing, analytical and computational capabilities closer to the edge of a network. In the case of an IoT network these are the so-called ‘things’. IoT edge platforms help facilitate localized computer processing on IoT devices. These devices constantly analyzed collected data including devices health stats, actions, and managed and control attached peripherals or sensors. So we can reduce bandwidth usage for IoT devices, respond quicker to malfunction, and reduce overall network traffic.
IoT edge platforms provide containerized modules to deploy on IoT devices, a runtime to execute actions locally, and a cloud-based interface for monitoring and management.
Best IoT Edge Platforms
AWS Snowball
Snowball is a petabyte-scale data transport solution that uses secure appliances to transfer large amounts of data into and out of the AWS cloud. Using Snowball addresses common challenges with large-scale data transfers including high network costs, long transfer times, and security concerns.
Azure IoT Edge
Azure IoT Edge is a fully managed service built on Azure IoT Hub. Deploy your cloud workloads—artificial intelligence, Azure and third-party services or your own business logic—to run on Internet of Things (IoT) edge devices via standard containers. By moving certain workloads to the edge of the network, your devices spend less time communicating with the cloud, react more quickly to local changes and operate reliably even in extended offline periods.
AWS Greengrass
AWS IoT Greengrass is an Internet of Things (IoT) open source edge runtime and cloud service that helps you build, deploy, and manage device software. Customers use AWS IoT Greengrass for their IoT applications on millions of devices in homes, factories, vehicles, and businesses. You can program your devices to act locally on the data they generate, execute predictions based on machine learning models, filter and aggregate device data, and only transmit necessary information to the cloud.
Bosch IoT Gateway
Bosch IoT Gateway Software is a platform-independent, edge-computing middleware that can be deployed on more than 40 types of gateway devices. It runs on common operating systems such as Linux, Windows, mac OS, and VxWorks. Bosch IoT Gateway Software is based on Java and the OSGi modular framework, which enables software to be installed and updated on the fly.
Akamai IoT Edge Connect
Hosted and fully integrated on the global Akamai IoT Edge Cloud, IoT Edge Connect seamlessly, simply, and securely connects IoT devices and applications for real-time data collection and messaging. Offering mutual authentication and access control for increased security, IoT Edge Connect provides an ISO-compliant MQTT broker for application developers or IoT-enabled product owners. Key Value Store and an integrated Edge Data Stream gives managers the ability to handle the data in a flexible and optimized manner across the Internet edge network.
Rancher
Rancher is an open-source platform for managing containers that provides a full set of infrastructure services for containers, including networking, storage services, host management and load balancing, work across any infrastructure, and make it simple to reliably deploy and manage applications.
Google Edge TPU
AI is pervasive today, from consumer to enterprise applications. With the explosive growth of connected devices, combined with a demand for privacy/confidentiality, low latency and bandwidth constraints, AI models trained in the cloud increasingly need to be run at the edge.
Cumulocity IoT
Cumulocity IoT was built from the ground up to be open, rapid to deploy and distributed. You can connect any “thing” and get started in minutes. Simplify with one architecture—from the edge to cloud and on-premises. Monitor and respond to IoT data in real time. No coding needed!
EdgeIQ
EdgeIQ Orchestration for AWS provides simplified AWS IoT service orchestration for AWS IoT Core, Greengrass, and AWS Lambdas as well as distributed Machine Learning models on connected devices at the edge.
IBM Edge Application Manager
IBM Edge Application Manager is an intelligent and flexible platform that provides autonomous management for edge computing. Edge computing platform with 5G creates tremendous opportunities in every industry. It brings computation and data storage closer to where data is generated, enabling better data control, reduced costs, faster insights and actions, and continuous operations.
Lightning Edge AI
FogHorn’s Lightning™ Edge AI platform brings a groundbreaking dimension to IIoT and edge computing by embedding AI as close to the source of streaming sensor data as possible. The Edge AI software platform is a highly compact, advanced and feature-rich edge solution that delivers unprecedented low latency for onsite data processing, real-time analytics, ML and AI capabilities. It delivers the industry’s lowest total cost for computing requirements, communications services, and cloud processing and storage.
IoT-Ignite
IoT-Ignite is a Platform as a Service (PaaS) distinctively designed for realization of Internet of Things. Companies of any size can utilize IoT-Ignite to design, develop and deploy their own IoT services and rapidly start monetization. IoT-Ignite enables services for a wide range of vertical market segments including retail, mobile services, agriculture, education, and energy. The opportunities to extend services to health care, manufacturing and mobility are wide open. ARDIC brings a paradigm shift to IoT.
SAS Analytics for IoT
For users who need to quickly extract value from their IoT data and investments – in days, not months – SAS Analytics for IoT provides an integrated, business-focused interface that employs a proven way to organize, visualize and act on high volumes of diverse IoT data using a secure, flexible and scalable AI-embedded IoT Analytics platform.
Nutanix Xi IoT
Nutanix Karbon Platform Services for IoT delivers local compute and AI-driven processing to edge devices, converging the edge and cloud for real-time business insight.
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