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Azkaban

Batch workflow job scheduler created at LinkedIn to run Hadoop and Spark big data pipelines.

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LicenseApache-2.0
GitHub stars4.8k
Last commit1 weeks ago
Tags5 topics
Azkaban ServerHadoop Dag ManagerLinkedin AzkabanDevopsBatch Workflow Scheduler
Overview

Why consider Azkaban?

Azkaban is an open-source distributed batch workflow job scheduler and DAG manager written in Java by LinkedIn. Azkaban manages file dependencies between tasks, scheduled cron jobs, SLA alerts, and user authentication with an intuitive web administration interface.

Guided learning

Learn Azkaban by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Azkaban

Azkaban executes scheduled big data ETL jobs and task dependency graphs.

Quickstart

bash
1# Build Azkaban distribution
2./gradlew build installDist

Azkaban is licensed under the Apache License Version 2.0.

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Azkaban FAQs

Azkaban is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Azkaban is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Azkaban is listed as an alternative to Oozie. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.