Edge computing is a distributed computing paradigm that brings data processing and storage closer to data sources, thereby reducing latency and improving response times. This architecture is essential for applications requiring high-speed and high availability, such as connected homes, autonomous vehicles, robotic surgery, and real-time gaming. By processing data locally at the edge rather than relying solely on cloud data centers, edge computing overcomes internet connectivity issues, ensuring applications remain fast and reliable. A real-world example is an oil drilling platform where on-site data processing can prevent safety risks by eliminating the delays associated with cloud-based analysis. Edge computing involves tiered data centers and requires databases capable of instantly synchronizing data across layers, allowing applications to function seamlessly even during connectivity losses. As major cloud service providers offer edge computing services, the complexity of setting up edge architectures is reduced, enabling organizations to leverage on-demand infrastructure and achieve a secure, efficient flow of data across their ecosystems.