Building the Layer for Data Choreography

Kestra is a declarative orchestration tool designed to improve the data experience by integrating software engineering best practices into data workflows. It addresses common challenges in the modern data ecosystem, such as resource allocation and pipeline latency, by treating data as a product and adopting frameworks like data mesh for scalable operations. Kestra enhances data observability and modularity, providing a robust layer of control to ensure a unified data landscape. It supports linear scheduling, event-driven flows, manual overrides, and universal integration, making data orchestration adaptable to evolving business and data models. Kestra emphasizes a superior developer experience, focusing on role-specific functionality, data trust, logic separation, and speed. By enabling a cohesive and efficient data choreography, Kestra aims to create an ecosystem where tools work in harmony while being individually effective, ultimately simplifying data management and making it more user-friendly and seamlessly integrated into business processes.