Cloud Computing processing and data storage occurs in centralized remote data centers managed by third-party providers.
Edge Computing processing takes place closer to the data source, at the edge of the network.
Cloud Computing may introduce latency due to data having to travel to and from remote data centers.
Edge Computing minimizes latency by processing data locally, suitable for applications requiring immediate responses.
Cloud Computing offers high scalability with resources provisioned or deprovisioned dynamically based on demand.
Edge Computing scalability may be more limited compared to cloud resources.
Cloud Computing is suited for applications not sensitive to latency, such as web hosting, big data analytics, and enterprise applications.
Edge Computing is ideal for latency-sensitive applications like IoT, real-time analytics, and augmented reality.
Cloud Computing raises concerns about data privacy and security since data is stored and processed off-site in third-party data centers.
Edge Computing offers improved data privacy and security as sensitive data can be processed locally without needing to be transmitted over networks to remote servers.