Best IoT Software for SAP Cloud Platform

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.

Azure IoT hub is the platform that Azure IoT edge uses to provide a fully managed service. You can deploy your cloud workloads, third-party services, and artificial intelligence to run on Internet of Things edge devices using standard containers. Your devices will spend less time communicating with cloud services, respond faster to local changes, and work reliably even when offline. You can deploy models that you have trained in the cloud, and then run them on-premises. If you deploy a predictive modeling to a factory camera to test quality control, and an issue is detected by IoT Edge, an alert will be triggered and the data processed locally or sent to the cloud for further analysis. Your edge devices can be operated securely and reliably even when they are offline or have intermittent connectivity to cloud. Azure IoT Edge device management automatically synchronizes the most recent state of your devices.

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.