Best IoT Software for IBM Cloud

Ayla is truly agnostic and supports device connectivity across common transport protocols, connectivity pathways, and cloud infrastructure platforms. Ayla's vast array of agents can seamlessly integrate with HTTPS, MQTT and CoAP. They are pre-built for embedded solutions, gateways and Android, Linux, BLE/phone, and cloud integrations. Ayla's Virtualization Engine allows for a robust digital twin of the physical device, which lays the foundations for device management at IoT scale. Ayla's Device Management offers full support for connected products through their entire lifecycle. It includes battle-tested features such as rules engine, firmware OTA update, data policies, and many more. Ayla's application support can help you extract strong business value from your data using a variety of methods. A Web Framework and Mobile Platform SDK allow for rapid development of mobile and business applications. You can also get customer care, field service, and asset tracking.

Armis, the leading asset visibility and security company, provides a unified asset intelligence platform designed to address the new extended attack surface that connected assets create. Fortune 100 companies trust our real-time and continuous protection to see with full context all managed, unmanaged assets across IT, cloud, IoT devices, IoMT, OT, ICS, and 5G. Armis provides passive cyber asset management, risk management, and automated enforcement. Armis is a privately held company and headquartered in California.

Use IoT-enriched business insight to embed in and expand business processes for transformative results. The SAP Internet of Things solution can address industrial IoT use case. It is the IoT layer in SAP's Business Technology Platform and allows users to reimagine business models and business processes using embedded IoT data and services. The SAP Internet of Things solution (SAP IoT), has a reference architecture that provides business services and specific capabilities to address industrial IoT use case across manufacturing, supply chain logistics, products, service management, and other areas. Cloud service for building IoT apps and integrating to business applications. Big Data that is integrated and managed. IoT data enhanced with business context, rules and an event-driven integration framework. Analytical services that allow live integration to SAP Analytics Cloud.

Fully managed cloud-hosted service that allows device registration, control, connectivity, control, rapid visualization, and data storage. To accelerate enterprise IoT insight, you can take full advantage cognitive Watson APIs, rich developer resources, and industry-leading security. Machine learning and cognitive APIs enable predictive real-time and edge analysis of user and machine data. Manage applications and devices in an IoT ecosystem. This includes usage patterns, anomaly detection, data validation, and data quality. Connect IoT devices, networks, and gateways using a growing ecosystem that makes use of open standards-based communications such as MQTT or HTTPS. Transform your IoT data into asset-based data structures by identifying, aggregating and transforming it. Your IoT data can be used to understand trends and conditions, comprehend unstructured data such as images and videos, and extract unstructured text data for insights.

The Internet of Things (IoT), is a collection of billions of physical devices connected to the internet and all sharing data. Combining IoT data and IBM Cloud®, businesses can gain valuable insights that will improve almost every aspect of their operations, as well as enable new business models. Connect your device to an IBM Cloud recipe. Open, lightweight MQTT and HTTP are the best ways to connect to the IBM Cloud. Connected devices can be managed so that your apps have access to historical and live data. Connect your apps to data from your devices using highly-secure APIs. You can create analytic apps in the IBM Cloud or another cloud. The IBM Watson IoT®, Platform makes it easy to connect, collect, and begin processing IoT data quickly. Use the analytics service to visualize and perform AI-driven analysis in the cloud.

Mir on Ubuntu is the fastest way to deploy a digital signage display, information kiosk, home automation interface, or in-car entertainment stack. Mir is a system-level component which can be used for next-generation user experiences. It can be used on a variety of Linux-powered devices, including traditional desktops, IoT, and embedded products. Mir is a replacement to the X Window server system, which is commonly used on Linux desktops. It allows desktop users and device makers to have a well-defined, efficient and flexible platform for their graphical environment. The X windowing system has been the power behind Linux's graphical user interfaces. X has a long, successful history. It has been used for both application and system level UI for more than three decades. Users today expect a more consistent, integrated, and secure user experience than what is possible with the X windowing system.

Your asset, operational, and business data can be interoperable through one platform. Enterprises from all industries can be empowered with the ability to reduce complexity, remove obstacles and accelerate time-to value in their integrated solutions. We uniquely bring together Application (IT) and Physical (IoT/IIoT/OT). Securely manage OT and IIoT data ingestion across disparate and fragmented networks, protocols, data formats, and systems. To work with common data models, schemas, and metadata, enrich contextual data, manage metadata, perform data transformation, and utilsie data mapping. Integrate data to different endpoints for process and application logic, storage, data analysis, and physical and digital automation. Reekoh Accelerate™, a hybrid integration platform, treats data from both digital and physical assets as first-class citizens. It offers a secure and flexible toolset for data management, business workflow, and automation.

The most comprehensive, flexible, and powerful multi-technology LPWA IoT Network platform on the market. ThingPark Wireless powers over half of all national LoRaWAN network deployments around the world. It enables secure connectivity, data flow, and management from sensors to cloud apps. ThingPark Wireless is modular and easily scales, allowing Service Providers to monetize connectivity, accelerate IoT adoption across multiple industries, and increase the adoption of IoT solutions. Horizontally-scalable core network architecture supporting up to 150K packets/second (up to 1.2 billion devices) and up to 10 million gateways per cluster. Full set of back-office applications to support onboarding/management of devices, gateways and applications. Multi-layer end to end security to route sensor data from application servers. To maximize network capacity and battery life, best-in-class MAC efficiency.