Best 5 Data Orchestration to use in 2025
Tools that coordinate and automate complex data workflows, ensuring smooth data movement, transformation, and processing across systems.

Dagster
Try DagsterTry DagsterDagster is a tool that helps organize and run your data workflows automatically. Think of it as a smart manager for all your data tasks. Instead of manually running scripts or remembering which files depend on others, Dagster handles this for you.

Prefect
Try PrefectTry PrefectPrefect is a Python-based workflow management system that turns regular functions into production-ready data pipelines. You write your code in normal Python, add a few simple markers (called decorators), and Prefect handles the scheduling, monitoring, and error recovery automatically.

Apache Airflow
Try Apache AirflowTry Apache AirflowApache Airflow is a tool that helps you create and manage automated workflows for processing data. Think of it as a smart coordinator that runs your tasks in the right order, at the right time, and handles problems when they occur.

Kestra
Try KestraTry KestraKestra is a workflow orchestration platform that turns your tasks and processes into automated workflows. Think of it like creating a recipe: you list what needs to happen and when, and Kestra makes sure everything runs in the right order at the right time.

Windmill
Try WindmillTry WindmillWindmill is a developer platform that combines code with visual workflow building. You can write scripts in Python, TypeScript, Go, Bash, or SQL, and the platform automatically creates user interfaces for them. Unlike traditional low-code tools, Windmill lets you use real code while still providing visual tools for non-developers.
Related to
Data Orchestration