Orchestration in the context of data management and microservices refers to the coordination and management of various services and data processes to ensure they work together seamlessly. It is akin to a conductor leading an orchestra, where the orchestrator manages the interactions between different services, ensuring they perform their tasks in a synchronized manner. This is particularly important in complex systems where multiple services need to communicate and collaborate effectively.

In data orchestration, the primary goal is to eliminate data silos and streamline data movement across various ecosystems. This is increasingly vital as the volume of data continues to grow, making management more challenging. Orchestration frameworks help automate data workflows, allowing organizations to handle data more efficiently and derive valuable insights from it ¹³.

There are two main approaches to service collaboration: orchestration and choreography. While orchestration centralizes control through an orchestrator, choreography allows services to interact independently based on predefined rules ².