Organizations struggle to automate complex, business-critical workflows due to the limitations of traditional orchestration platforms. These platforms often lack the flexibility to integrate diverse data sources, require extensive coding, and are difficult for business stakeholders to manage and govern. This complexity hinders agility and slows down data processing.

Kestra is a unified, open-source orchestration platform that simplifies the automation of business-critical workflows. It provides a declarative YAML interface, enabling both developers and business stakeholders to define and manage workflows as code. Kestra integrates with a wide array of data sources and tools, allowing users to connect their workflows to their existing data stack. The platform offers features such as a built-in code editor, a comprehensive dashboard, and a rich plugin ecosystem, facilitating fast development cycles and simple deployments.

Declarative workflow creation using YAML, allowing for version control and collaboration

Scalable, multi-tenant architecture designed to handle growing workloads

Built-in code editor with autocompletion, syntax validation, and Git integration

All-inclusive dashboard for monitoring, troubleshooting, and optimizing workflows

Support for scheduled, event-driven, and real-time workflow execution

Integration with over 500 plugins for popular databases, file formats, APIs, and cloud services

Role-Based Access Control (RBAC) for secure collaboration

Ability to define custom Docker images per task, allowing for flexible execution environments

Kestra targets data engineers, data scientists, and business users who need to automate complex data workflows, integrate with diverse data sources, and ensure reliable execution and scalability across various environments.