digdag ☆

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Description:
Workload Automation System

Type: Formula | Latest Version: 0.10.5.1@0 | Tracked Since: Dec 17, 2025

Links: Homepage | formulae.brew.sh

Category: Devops

Tags: workflows automation orchestration devops etl

Install: brew install digdag

About:
Digdag is an open-source workflow orchestration engine designed for managing complex data pipelines and long-running business processes. It provides a simple, consistent model for defining, scheduling, and executing workflows across distributed systems. Its primary value is enabling reliable and scalable automation for data engineering and DevOps tasks.

Key Features:

Declarative workflow definitions using YAML or Ruby DSL
Built-in scheduler for complex, time-based workflows
State management and automatic retry capabilities for reliability
Operator-based architecture for extensibility (e.g., Docker, SSH, BigQuery)
Supports both on-premise and cloud deployments

Use Cases:

Orchestrating ETL (Extract, Transform, Load) data pipelines
Automating recurring system administration and backup tasks
Scheduling and managing machine learning model training jobs
Coordinating multi-step deployment processes in DevOps

Alternatives:

Apache Airflow – Airflow is more Python-centric and has a larger ecosystem, while Digdag offers simpler YAML/Ruby definitions and is often considered easier to get started with for certain workflows.
Prefect – Prefect is a modern, Python-native framework focusing on dynamic, dataflow-driven workflows, whereas Digdag provides a more static, DAG-based approach with strong state management.

License: Apache-2.0

Dependencies: openjdk@11

Bottles available for: all

Version History

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