Best Edge Computing Platforms

Empower your developers, connect with your customers, and grow your business with today’s leading edge cloud platform. Deliver the best online experiences possible with our edge cloud platform, built to strengthen your current teams and technology. We move data and applications closer to your users — at the edge of the network — to help your websites and apps perform faster, safer, and at global scale. Fastly's highly programmable CDN gives you the freedom to customize delivery right at the edge. Delight your users with the content they want at their fingertips. Our powerful POPs, driven by solid-state drives (SSDs) and hosted in well-connected locations around the world, help us keep more content in cache longer for fewer trips to the origin. Instant Purge and batch purging with surrogate keys let you cache and invalidate highly dynamic content with a mean purge time of 150 milliseconds*. Serve headlines, inventory, or weather forecasts that are always up to date.

HPE Greenlake Cloud Services. The cloud that comes to wherever your apps and data live. Innovate Faster With HPE Greenlake Cloud Services. The vast majority of apps and data 1 – 70% – are “systems of record” that run the enterprise – ERP, CRM and more. They must live in data centers and colocations for data gravity, latency, application dependency and regulatory compliance reasons, and lack the agility of the modern cloud experience. Now you can bring cloud speed, agility, and an as-a-service model to where your apps and data are today. Transform the way you do business with one experience and one operating model across your distributed clouds, for apps and data at the edge, in colocations and in your data center. Pay per use. HPE GreenLake speeds insights to unlock data’s value, with pay-per-use and financial flexibility for new ventures and business operations, so you can free up capital, and boost operational and financial flexibility.

Committed to the research and development of cutting-edge technologies such as cloud computing, desktop virtualization, smart desktop, edge computing for users in education, government, enterprise, medical, energy and other industries. Virtual desktop infrastructure (VDI) is the practice of hosting a desktop operating system within a virtual machine (VM) running on a centralized server. Virtual Desktops (VDI) will speed up the desktop processing by moving the software off of the desktops and onto a central server in the data center. With this model, one software image is created which contains all software titles for the labs and classrooms. This image can be accessed by any computer in any lab or classroom. Featuring the first of it’s kind in the industry, “Add-Clone” function helps you in its mass installation and deployment abilities with efficiency and stability. “Add-clone” enables incremental and differential capturing of data changes made since your last transfer.

PubNub is a real-time communication platform that provides APIs, SDKs, and cloud infrastructure for building interactive applications. The platform enables developers to exchange messages and synchronize data between users, devices, and services through a globally distributed publish/subscribe network. Its capabilities include real-time messaging, presence detection, message history, data synchronization, and event-driven processing. PubNub supports applications such as live chat, multiplayer gaming, collaborative software, IoT monitoring, and real-time dashboards. The platform also provides serverless functions, access controls, push notifications, analytics, and integrations with external services. Developers can use PubNub to build scalable real-time features without managing the underlying messaging servers, network infrastructure, or connection management systems.

Gravio enables new ways to connect and interact with your environment through the power of IoT, sensors, edge computing, computer vision, and AI without programming knowledge. Gravio is an easy-to-use software platform that runs on Windows, macOS, or Linux. You can connect to various inputs and outputs, including some bundled IoT sensors, computer vision/AI cameras, and MQTT or HTTP APIs. Gravio is very easy to use without software programming knowledge. Gravio unlocks the power of connected technologies by connecting sensors, input devices, cameras, and APIs within a space, then continuously gathering and sharing their information, enabling new ways to interact with, learn from and enhance a physical space. To create these experiences, Gravio provides a powerful low-code/no-code environment to enable entrepreneurs and organizations of all sizes, across industries, to build custom, connected experiences for new and existing environments.

Intel® Tiber™ AI Cloud is a powerful platform designed to scale AI workloads with advanced computing resources. It offers specialized AI processors, such as the Intel Gaudi AI Processor and Max Series GPUs, to accelerate model training, inference, and deployment. Optimized for enterprise-level AI use cases, this cloud solution enables developers to build and fine-tune models with support for popular libraries like PyTorch. With flexible deployment options, secure private cloud solutions, and expert support, Intel Tiber™ ensures seamless integration, fast deployment, and enhanced model performance.

Eclipse Kura™ is an extensible open source IoT Edge Framework based on Java/OSGi. Kura offers API access to the hardware interfaces of IoT Gateways (serial ports, GPS, watchdog, GPIOs, I2C, etc.). It features ready-to-use field protocols (including Modbus, OPC-UA, S7), an application container, and a web-based visual data flow programming to acquire data from the field, process it at the edge, and publish it to leading IoT Cloud Platforms through MQTT connectivity. The emergence of an Internet of Thing (IoT) service gateway model running modern software stacks, operating on the edge of an IoT deployment as an aggregator and controller, has opened up the possibility of enabling enterprise-level technologies to IoT gateways. Advanced software frameworks, which abstract and isolate the developer from the complexity of the hardware and the networking sub-systems, re-define the development and re-usability of integrated hardware and software solutions.

Small-footprint, edge-optimized SQL database engine with built-in AI. Azure SQL Edge, a robust Internet of Things (IoT) database for edge computing, combines capabilities such as data streaming and time series with built-in machine learning and graph features. Extend the industry-leading Microsoft SQL engine to edge devices for consistent performance and security across your entire data estate, from cloud to edge. Develop your applications once and deploy them anywhere across the edge, your on-premises data center, or Azure. Built-in data streaming and time series, with in-database machine learning and graph features for low-latency analytics. Data processing at the edge for online, offline, or hybrid environments to overcome latency and bandwidth constraints. Deploy and update from the Azure portal or your enterprise portal for consistent security and turnkey management. Detect anomalies and apply business logic at the edge using the built-in machine learning capabilities.

Run your workloads and get quick actionable insights right at the edge where data is created using purpose-built hardware-as-a-service with Azure Stack Edge. Simply order your appliance from the Azure portal in a hardware-as-a-service model, paid monthly via your Azure subscription. Get a seamless cloud-to-edge experience where you configure, monitor and update your Azure Stack Edge with the same management portal and development tools that you’ve come to expect from Azure. Run your containerized applications and VMs right at the edge where data is created and collected. Analyze, transform, and filter data at the edge, sending only the data you need to the cloud for further processing or storage. Build and train machine learning models in Azure or use Azure Cognitive service, and then utilize the built-in NVIDIA T4 GPU or Intel VPU in the Mini R to accelerate the results locally.

Get all the benefits of distributed systems from our single, unified, and intelligent platform. The Ormuco Edge PaaS and Decentralization solution is a unique, end-to-end platform for all your fog computing, edge computing and decentralization needs. It is the only solution ready for 5G and for scenarios involving users in motion (roaming). It includes an advanced billing engine to charge accurately at the edge of the network. It automatically deploys applications on edge gateways based on demand. It is self-managed and it self-heals, using AI and machine learning. Deliver interactive apps to roaming users with optimal load and response times. Build your secure, distributed database for cryptocurrency transactions. Offer your clients the full benefits of 5G networks with edge-native services. Build real business intelligence by collecting more data at the edge of the network.

Trustgrid is the SD-WAN for application providers. The Trustgrid platform uniquely addresses the needs of SaaS application providers who rely on remote systems. By combining an SD-WAN 2.0, edge computing, and zero trust remote access into a single platform we allow software providers to manage and support distributed application environments from the cloud to the edge. With the Trustgrid platform you can: • Build cloud to on-premise networks at scale • Manage and support 100s of networks from a single pane of glass • Control on-premise apps and appliances as if they were in the cloud • Run and support Docker containers in any cloud or on-premise • Provide your support teams secure access to edge application environments Simplify connectivity, enhance security, and guarantee network availability with Trustgrid.

ONAP is a comprehensive platform for orchestration, management, and automation of network and edge computing services for network operators, cloud providers, and enterprises. Real-time, policy-driven orchestration and automation of physical and virtual network functions enables rapid automation of new services and complete lifecycle management critical for 5G and next-generation networks. The Open Network Automation Platform (ONAP) Project brings together top global carriers and vendors with the goal of allowing end users to automate, design, orchestrate and manage services and virtual functions. ONAP unites two major open networking and orchestration projects, open source ECOMP and the Open Orchestrator Project (OPEN-O), with the mission of creating a unified architecture and implementation and supporting collaboration across the open source community. The ONAP Project is a Linux Foundation project.

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. Deploy models built and trained in the cloud and run them on-premises. For example, if you deploy a predictive model to a factory camera to test for quality control and an issue is detected, IoT Edge triggers an alert and processes the data locally or sends it to the cloud for further analysis. Operate your edge devices reliably and securely, even when they’re offline or they have intermittent connectivity to the cloud. Azure IoT Edge device management automatically syncs the latest state of your devices.

Hybrid cloud and edge computing are transforming and expanding usage of the cloud. Requirements for data sovereignty, security, latency, and field deployability have prevented adoption of public cloud for many mission-critical applications. Oracle Cloud’s hybrid and edge offerings address customer requirements for specialized deployment, disconnected and intermittently-connected operation, low latency and high performance, as well as data locality and security. All products require tradeoffs, but to date, cloud offerings have been unnecessarily constrained. An approach focusing on large hyperscale cloud regions providing a large number of services required great expense to build, with very limited locations. Smaller scale provided greater flexibility of location, but often required tethering to the public cloud to operate. Customers with the "wrong" mix of needs around data sovereignty, low-latency, broad use cases, or level of control were left on the sidelines.

Link IoT Edge allows for the management of millions of edge nodes by extending the capabilities of the cloud, thus providing users with services at the nearest location. Link IoT Edge fully integrates cloud and edge computing and has native support for Alibaba Cloud. The service comes with communication protocol development, remote operation and maintenance, and edge application frameworks, all of which make business development simpler and more efficient. Link IoT Edge is compatible with a large variety of IoT application layer data collection protocols. It shields the differences in underlying hardware communication links, standardizes data conversion, and provides standard object model data, enabling cloud applications to seamlessly use edge capabilities. Link IoT Edge allows devices to use ecological drivers for quick migration to the cloud after debugging and supports multi-programing-language development frameworks.

Responsive applications keep users engaged and developers inspired. Rise to meet these ever-increasing expectations with the DataStax Astra Streaming service platform. DataStax Astra Streaming is a cloud-native messaging and event streaming platform powered by Apache Pulsar. Astra Streaming allows you to build streaming applications on top of an elastically scalable, multi-cloud messaging and event streaming platform. Astra Streaming is powered by Apache Pulsar, the next-generation event streaming platform which provides a unified solution for streaming, queuing, pub/sub, and stream processing. Astra Streaming is a natural complement to Astra DB. Using Astra Streaming, existing Astra DB users can easily build real-time data pipelines into and out of their Astra DB instances. With Astra Streaming, avoid vendor lock-in and deploy on any of the major public clouds (AWS, GCP, Azure) compatible with open-source Apache Pulsar.

SC//Platform brings faster time to value in the data center, in the distributed enterprise, and at the edge. Scale Computing Platform brings simplicity, high availability and scalability together, replacing the existing infrastructure and providing high availability for running VMs in a single, easy-to-manage platform. Run your applications in a fully integrated platform. Regardless of your hardware requirements, the same innovative software and simple user interface give you the power to run infrastructure efficiently at the edge. Eliminate mundane management tasks and save the valuable time of IT administrators. The simplicity of SC//Platform directly impacts IT with higher productivity and lower costs. Plan the perfect future by not predicting it. Simply mix and match old and new hardware and applications on the same infrastructure for a future-proof environment that can scale up or down as needed.

Data is the key asset for every digital transformation initiative. Many projects fail because data availability and quality are assumed to be inherent. The crude reality, however, is that relevant data is usually hard, expensive and disruptive to acquire. Datumize Data Collector (DDC) is a multi-platform and lightweight middleware used to capture data from complex, often transient and/or legacy data sources. This kind of data ends up being mostly unexplored as there are no easy and convenient methods of access. DDC allows companies to capture data from a multitude of sources, supports comprehensive edge computation even including 3rd party software (eg AI models), and ingests the results into their preferred format and destination. DDC offers a feasible digital transformation project solution for business and operational data gathering.

Start benefiting your business within minutes of installation. Learn how our system works. It's the fastest, easiest way to analyze vast amounts of geographically distributed data. A new approach to analytics. Overcome the architectural constraints associated with traditional big data warehouses, database design and edge computing architectures. Understand details within the platform that allow for centralized command & control, automated software installation & orchestration and geographically distributed data input & storage.

Embiot® is a compact, high performance IoT analytics software agent for IoT gateway and smart sensor applications. This edge computing application is small enough to integrate directly into devices, smart sensors and gateways, but powerful enough to calculate complex analytics from large amounts of raw data at high speed. Internally, Embiot uses a stream processing model to enable it to handle sensor data that arrives at different rates and out of order. It has a simple intuitive configuration language and a rich set of math, stats and AI functions making it fast and easy to solve your analytics problems. Embiot supports a range of input methods including MODBUS, MQTT, REST/XML, REST/JSON, Name/Value and CSV. Embiot is able to send output reports to multiple destinations concurrently in REST, MQTT and custom text formats. For security, Embiot supports TLS selectively on any input or output stream, HTTP and MQTT authentication.