Apache Airflow
Open-source workflow orchestration
Data Pipeline
Open Source
Free
#14 Ranked
Caters to: Free tier available
Open-source platform to programmatically author, schedule, and monitor workflows
Key Features
AI Search
Data Lineage
Data Governance
Collaboration
RBAC
PII Detection
Data Quality
Metadata Automation
Version Control
Notable Features
- Workflow orchestration
- Python-based
- Rich UI
- Extensible operators
- Scheduling
Use Cases
Workflow orchestration
Data pipelines
ETL processes
Task scheduling
What Makes Apache Airflow Special
Apache Airflow is the de facto standard for workflow orchestration in data engineering, offering powerful scheduling and monitoring capabilities.
Integrations
Python
Kubernetes
Docker
AWS
GCP
Azure
dbt
Spark
Pros & Cons
Pros
- Completely free
- Python-based
- Rich UI
- Extensible
- Active community
Cons
- No built-in governance
- Limited lineage
- Complex setup
- Requires Python knowledge