Statements (65)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:software
|
gptkbp:can |
periodic tasks
one-time tasks |
gptkbp:can_be_extended_by |
custom hooks
custom operators custom sensors |
gptkbp:deployment |
virtual machines
on-premises servers |
gptkbp:developed_by |
gptkb:Apache_Software_Foundation
|
gptkbp:has |
gptkb:Joint_Task_Force
community support configuration options plugins web interface logging capabilities executor DAG (Directed Acyclic Graph) task dependencies task execution logs task retries UI for task monitoring task priority levels task states |
https://www.w3.org/2000/01/rdf-schema#label |
Airflow C
|
gptkbp:integrates_with |
gptkb:Kubernetes
gptkb:AWS gptkb:Apache_Spark gptkb:Google_Cloud_Platform |
gptkbp:is_available_on |
gptkb:Git_Hub
|
gptkbp:is_compatible_with |
gptkb:Python_3
SQL databases No SQL databases |
gptkbp:is_documented_in |
official documentation
|
gptkbp:is_open_source |
gptkb:true
|
gptkbp:is_part_of |
Apache Software Foundation projects
data engineering ecosystem |
gptkbp:is_scalable |
gptkb:true
|
gptkbp:is_supported_by |
community contributions
|
gptkbp:is_used_by |
gptkb:Airbnb
gptkb:Lyft gptkb:Spotify gptkb:Netflix |
gptkbp:is_used_for |
ETL processes
data integration data transformation data loading data pipeline orchestration |
gptkbp:is_used_in |
business intelligence
data science projects machine learning workflows |
gptkbp:programming_language |
gptkb:Python
|
gptkbp:provides |
monitoring tools
|
gptkbp:release_date |
gptkb:2020
|
gptkbp:runs_through |
gptkb:cloud_computing
local machine |
gptkbp:supports |
REST API
email notifications task scheduling Bash operators Docker operators Python operators |
gptkbp:trigger_type |
external services
|
gptkbp:used_for |
workflow automation
|
gptkbp:bfsParent |
gptkb:1934_Chrysler_Airflow
|
gptkbp:bfsLayer |
7
|