Luigi vs Azkaban
Side-by-side — pricing, strengths, tradeoffs, and fit.
Luigi
Build complex pipelines of batch jobs with ease.
Azkaban
Batch workflow job scheduler for Hadoop jobs.
At a glance
Open SourceFree Tier
● Established·From $0
Open SourceFree Tier
◌ Declining·From $0
Overview
One-liner
One-liner
Build complex pipelines of batch jobs with ease.
One-liner
Batch workflow job scheduler for Hadoop jobs.
Maturity
Maturity
EstablishedMaturity
DecliningOpen source
Open source
✓ YesOpen source
✓ YesPricing
Free tier
Free tier
✓ AvailableOpen source — free to use
Free tier
✓ AvailableOpen source — free to use
Starts at
Starts at
$0
Starts at
$0
Model
Model
Flat rate
Model
Flat rate
Enterprise
Enterprise
✕ NoneEnterprise
✕ NoneBest for
✓ Best for
Teams needing to manage large, complex data pipelines with Python
Projects requiring integration with Hadoop or Spark for big data processing
✓ Best for
Teams needing to schedule and manage large numbers of Hadoop jobs efficiently
Organizations with a significant investment in the Hadoop ecosystem looking for workflow management solutions
Not ideal for
✕ Not for
Real-time streaming applications (batch-only architecture)
Projects that require a web-based UI for workflow management
✕ Not for
Projects that require real-time data processing or streaming capabilities
Developers who prefer cloud-based managed services over self-hosted solutions
Strengths
↑ Strengths
Dependency resolution and workflow management
Visualization of pipelines
Handling failures and retries
Integration with Hadoop, Spark, and more
↑ Strengths
Easy-to-use web interface for managing workflows
Supports complex job dependencies and scheduling
Integration with Hadoop ecosystem
Weaknesses
↓ Weaknesses
Limited out-of-the-box integrations with other tools and platforms
Performance issues with large-scale pipelines
↓ Weaknesses
Limited support for non-Hadoop ecosystems
Complex setup process
Limited documentation and community support
Performance issues at scale