Install
Tools
Workflow orchestration
12 tools compared: how each is priced, where it runs, and what to consider instead.
| Tool | Pricing model | Free tier | Open source |
|---|---|---|---|
| Apache Airflow The de facto standard open-source workflow orchestrator, defining pipelines as Python DAGs of scheduled, dependent tasks. | Open source + paid | Yes | Yes |
| Apache NiFi Open-source dataflow tool with a drag-and-drop UI for routing, transforming, and mediating data between systems in near real time. | Open source + paid | Yes | Yes |
| Argo Workflows Kubernetes-native workflow engine that runs each pipeline step as a container, defined as Kubernetes custom resources (CRDs). | Open source + paid | Yes | Yes |
| Astronomer Managed Apache Airflow platform (Astro) that runs, scales, and supports Airflow for teams who don't want to operate it themselves. | Usage-based | No | No |
| Dagster Asset-centric orchestrator that models pipelines around the data they produce, with built-in testing, typing, and observability. | Subscription | Yes | Yes |
| Flyte Kubernetes-native orchestrator for ML and data pipelines with strong typing between tasks, built for reproducibility at scale. | Usage-based | Yes | Yes |
| Keboola End-to-end SaaS data platform combining 700+ ingestion connectors, SQL/Python transformations, and visual pipeline orchestration. | Free tier + paid | Yes | No |
| Kestra Open-source, event-driven orchestration platform defining workflows declaratively in YAML, with 800+ plugins for data, infra, and AI tasks. | Free tier + paid | Yes | Yes |
| Luigi Lightweight, older open-source Python library for building batch pipelines of dependent tasks, now maintained by its community. | Open source + paid | Yes | Yes |
| Mage Notebook-style, open-source pipeline builder combining ingestion, transformation, and orchestration with a block-based visual editor. | Usage-based | Yes | Yes |
| Prefect Python-native workflow orchestrator built around plain functions and dynamic flows, with a managed cloud control plane for scheduling and observability. | Subscription | Yes | Yes |
| Temporal Durable-execution platform for building fault-tolerant application logic in code, used for microservice orchestration far beyond data pipelines. | Usage-based | Yes | Yes |