What common integration strategy uses a middleware solution for data synchronization?

The hub-and-spoke model is a common integration strategy that utilizes a middleware solution for data synchronization. In this architecture, a central hub serves as the interface between various data sources and destinations, facilitating communication and data transfer. The hub is responsible for managing data flows, ensuring consistency, and transforming data formats as needed, which simplifies the integration process.

This model provides several benefits, such as enabling scalability by adding new spokes (data sources or applications) without significant changes to the existing architecture. It also centralizes the monitoring and management of integration processes, making it easier to address issues and implement updates or changes. By using a middleware solution in a hub-and-spoke configuration, organizations can streamline their data synchronization efforts and reduce complexity compared to other integration strategies.

In contrast, the point-to-point model involves direct connections between each pair of systems, which can lead to a tangled web of integrations that becomes difficult to manage as the system grows. The peer-to-peer model allows systems to communicate directly with one another but lacks the centralized control and efficiency provided by the hub-and-spoke model. The serverless model typically refers to a cloud computing paradigm that abstracts away server management, rather than focusing specifically on data synchronization through middleware. Thus, the hub-and-spoke model