Edge Computing  vs  Cloud Computing

Key Differences

Edge Computing

Edge computing involves processing data closer to the source of data generation, i.e., at the "edge" of the network.

Cloud Computing

Cloud computing delivers services like computing power, storage, and applications over the internet. These services are hosted and managed by third-party providers in large data centers.

Proximity to Data Source

Edge Computing: Processing of data occurs closer to the data source or endpoint devices.

Cloud Computing: Data processing is centralized in remote data centers.

Latency

Edge Computing: Low latency as data doesn't have to travel far for processing.

Cloud Computing: Higher latency due to the physical distance between the data center and end-users or devices.

Bandwidth Usage

Edge Computing: Reduces the need for extensive data transfers to the cloud, saving bandwidth.

Cloud Computing: Requires significant data transfers to and from the cloud.

Use Cases

Edge Computing: Ideal for applications requiring real-time processing, such as IoT devices, autonomous vehicles, and smart sensors.

Cloud Computing: Suited for applications requiring less stringent latency like web applications, storage, and data analytics.

Cloud Computing  vs.  On-Premises 

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