Connectivity management platforms will enable capabilities like: connectivity management, invoicing/billing management, data rate management, connectivity between data sources and servers.
FREMONT, CA: Given the heterogeneous character of IoT environments, an IoT platform integrates applications, legacy equipment, sensors, and network infrastructure devices. Platforms work behind the scenes to permit application functionality, data flow, and safe and scalable communication within the IoT ecosystem.
Several types of IoT platforms are available in the market today. A few of them are discussed below:
Connectivity Management Platform
One of the most fundamental but popular IoT platforms is connectivity management. These platforms enable connectivity management, connectivity orchestration, and communication services for IoT devices and systems. Connectivity management platforms will enable capabilities like: connectivity management, invoicing/billing management, data rate management, connectivity between data sources and servers.
Device Management Platform
The addition of devices and other assets connected to an IoT system is evolving. This growing figure of devices poses many challenges in an IoT ecosystem. These devices are to be maintained over a more extended period; therefore, device management platforms have established themselves as standalone products over the years.
IoT Development Platform
A few IoT platforms provide features that enhance the developer experience and offer services that make the development of applications trouble-free for developers. Development-centric platforms frequently highlight community-building and collaboration. A few capabilities of developer-focused IoT platforms include:
· OTA application growth in a cloud IDE (Integrated development environment).
· Live development and use of IoT apps.
· Integrations with external repositories like GitHub and GitLab.
· Collaborative and community features.
· IoT app marketplace.
An IoT adoption will be the true benefit when one can make sense out of the data collected. A robust analytics engine handles the processing of data volumes and utilizes advanced AI and ML models. The analytics platform also caters to required storage capabilities for the massive data volume involving structured and unstructured data.
Application platforms facilitate the development of custom IoT solutions centered on insight generation and data analytics. These platforms will have a built-in application mechanism and standard interfaces to other enterprise systems. Prime functionalities of an application platform will encompass: