Data Orchestration & Workflow Orchestration

Data orchestration streamlines the management, movement, and integration of data across any environment—whether cloud, on-premises, or hybrid. By automating these processes, it ensures data is always available, connected, and ready for analysis or business-critical tasks.

Workflow orchestration coordinates and automates tasks across multiple systems, applications, and teams. It ensures that processes are executed in the correct order, and delivers seamless, efficient operations.

Control-M is a comprehensive platform for data and workflow orchestration, and offers a seamless integration across complex environments. With advanced automation and full visibility, it optimizes operations and empowers businesses to achieve efficiency and scale.

Workflow orchestration in AWS automates and coordinates tasks across different cloud services and manages dependencies and sequences to enhance efficiency and streamline processes within the AWS ecosystem.

Data orchestration automates data movement and integration across systems, while ETL (Extract, Transform, Load) extracts data, transforming it, and loading it into a destination.

Workflow orchestration automates tasks across systems and teams, boosting efficiency and collaboration.
Data orchestration ensures seamless data movement, improving accessibility, accuracy, and real-time decision-making.
Together, they streamline operations, enhance productivity, and support scalable growth.

Tailor the orchestration experience for different stakeholders, providing each team—developers, operations, or business owners—with the right interface to manage workflows efficiently.

Seamlessly integrate with CI/CD pipelines, allowing developers and engineers to build, modify, and deploy workflows using programmatic UIs like JSON and CLI for efficient operations.

Maintain consistency and reliability in production by enforcing workflow standards, including naming conventions and error handling practices, ensuring smooth and compliant operations.