An IoT platform's primary function is to collect and store data from IoT devices. This data can then be used for various purposes, such as analysis, visualization, and control.

Edge-based IoT platforms are not as common as cloud-based, on-premises, and hybrid platforms.

Cloud-based IoT platforms offer scalability, as they can easily be scaled up or down to meet changing needs.

On-premises IoT platforms offer security, as they are not accessible from the public internet.

Hybrid IoT platforms offer flexibility, as they can be deployed in a variety of environments.

Edge-based IoT platforms offer low latency, as they are deployed close to the IoT devices.

Artificial intelligence is not a common feature of IoT platforms.

Device management in an IoT platform allows you to monitor and control IoT devices, update their firmware, and troubleshoot problems with them.

Data analytics in an IoT platform allows you to collect, store, analyze, and visualize data from IoT devices.

Security in an IoT platform is designed to protect IoT devices, data from IoT devices, and the IoT platform itself from unauthorized access.

Prescriptive analytics is not a common type of data analytics used in IoT platforms.

Firewalls are not a common type of security measure used in IoT platforms.

Platform-centric IoT platforms are not as common as device-centric, data-centric, and application-centric platforms.

Hybrid cloud is not a common type of IoT platform deployment model.