Reports‌Airflow vs. Luigi: Which ETL Tool is the Best? EN
Created by Valeria Monrreal
Last edited
‌ Term used
‌‌
Your working draft
‌ www.integrate.io/blog/airflow-vs-luigi/#1 desktop
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‌ hevodata.com/learn/luigi-vs-airflow/#2 desktop
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‌ www.upsolver.com/blog/workflow-management-review-airflow-vs-luigi#3 desktop
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‌ www.datarevenue.com/en-blog/airflow-vs-luigi-vs-argo-vs-mlflow-vs-kubeflow#4 desktop
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‌ betterprogramming.pub/airbnbs-airflow-versus-spotify-s-luigi-bd4c7c2c0791#5 desktop
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‌ towardsdatascience.com/data-pipelines-luigi-airflow-everything-you-need-to-know-18dc741449b7#6 desktop
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‌ stackshare.io/stackups/airflow-vs-luigi#6 mobile
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‌ m.youtube.com/watch?v=xBGmJDD-dbk#7 mobile
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‌ otonomo.io/luigi-airflow-pinball-and-chronos-comparing-workflow-management-systems/#8 desktop
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‌ www.youtube.com/watch?v=xBGmJDD-dbk#9 desktop
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‌ www.quora.com/Which-is-a-better-data-pipeline-scheduling-platform-Airflow-or-Luigi#10 desktop
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‌ medium.datadriveninvestor.com/the-best-automation-workflow-management-tool-airbnb-airflow-vs-spotify-luigi-5f4c9832e9fd#11 desktop
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‌ medium.com/@Minyus86/comparison-of-pipeline-workflow-packages-airflow-luigi-gokart-metaflow-kedro-pipelinex-5daf57c17e7#12 desktop
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‌ mulesoftonlinelearning.home.blog/2020/05/12/top-python-etl-tools-aka-airflow-vs-the-world/#13 desktop
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‌ blog.panoply.io/top-9-python-etl-tools-and-when-to-use-them#14 desktop
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‌ www.reddit.com/r/pystats/comments/bsbtg8/python_etl_tools_comparison_airflow_vs_the_world/#15 desktop
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‌ www.acheronanalytics.com/acheron-blog/7-etl-and-elt-tools-to-move-your-data-into-your-datawarehouse#16 desktop
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‌ www.libhunt.com/compare-airflow-vs-luigi#17 desktop
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‌ analyticsindiamag.com/6-best-alternatives-to-apache-airflow/#18 desktop
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‌ neptune.ai/blog/best-workflow-and-pipeline-orchestration-tools#19 desktop
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‌ www.stitchdata.com/vs/airflow/aws-glue/#20 desktop
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‌ www.geeksforgeeks.org/top-7-python-etl-tools-to-learn/#21 desktop
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‌ news.ycombinator.com/item?id=13353081#22 desktop
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‌ kapernikov.com/a-comparison-of-data-processing-frameworks/#23 desktop
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‌ www.conceptatech.com/blog/looking-into-luigi-a-workflow-management-system-review#24 desktop
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‌ www.pinterest.com/pin/796152040351724532/#25 desktop
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‌ syahidahroslam.com/c68ra/airflow-vs-spark.html#26 desktop
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‌ github.com/pditommaso/awesome-pipeline#27 desktop
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‌ ubiops.com/data-pipelines-what-why-and-which-ones/#28 desktop
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‌ luigi.readthedocs.io/en/stable/#29 desktop
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‌ www.ksolves.com/blog/big-data/nifi/apache-nifi-vs-airflow-overview-and-comparison-study#30 desktop
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‌
airflow
‌ H
Typical: 7–21
‌
python
‌ H
Typical: 4–10
‌
workflow
‌ H
Typical: 5–13
‌
luigi
‌ H
Typical: 8–22
‌
dag
Typical: 3–9
‌
open source
Typical: 2–4
‌
etl
‌ H
Typical: 4–10
‌
scheduler
Typical: 2–6
‌
dependencies
Typical: 2–4
‌
data pipelines
‌ H
Typical: 1–3
‌
airbnb
Typical: 1–3
‌
aws
Typical: 1–3
‌
spotify
Typical: 1–3
‌
directed acyclic graphs
Typical: 1–2
‌
hadoop
Typical: 1–3
‌
apache airflow
‌ H
Typical: 2–6
‌
api
Typical: 2–4
‌
nodes
Typical: 1–2
‌
workflow management
‌ H
Typical: 2–6
‌
machine learning
‌ H
Typical: 1–2
‌
spark
‌ H
Typical: 2–4
‌
visualization
Typical: 1–3
‌
data science
Typical: 1–3
‌
sql
Typical: 1–3
‌
template
Typical: 1–2
‌
data engineers
Typical: 1–3
‌
command line
Typical: 1–2
‌
extensible
Typical: 1–3
‌
github
Typical: 2–6
‌
orchestration
Typical: 2–4
‌
metadata
Typical: 1–2
‌
python package
Typical: 1–2
‌
redshift
Typical: 1–2
‌
automation
Typical: 1–3
‌
tutorial
Typical: 1–2
‌
data warehouse
‌ H
Typical: 2–6
‌
data scientists
Typical: 1–3
‌
user interface
Typical: 1–2
‌
kubernetes
Typical: 2–4
‌
data processing
Typical: 1–3
‌
use cases
Typical: 1–3
‌
data analysis
Typical: 1–2
‌
ecosystems
Typical: 1–2
‌
use airflow
Typical: 1–3
‌
cron jobs
Typical: 1–2
‌
amazon
Typical: 1–2
‌
rerun
Typical: 1–3
‌
batch jobs
Typical: 1–2
‌
dataset
Typical: 1–3
‌
big data
Typical: 1–2
‌
complex workflows
Typical: 1–2
‌
data flow
Typical: 1–2
‌
slack
Typical: 1–2
‌
real-time
Typical: 1–3
‌
data structures
Typical: 1–2
‌
pandas
Typical: 2–4
‌
algorithms
Typical: 1–2
‌
hive
Typical: 1–2
‌
data sources
Typical: 1–3
‌
argo
Typical: 1–3

airflow

airflows
Importance: 10/10
Heading presence: ‌ High
Typical uses: 7–21
Current uses: 51

python

Importance: 10/10
Heading presence: ‌ Low
Typical uses: 4–10
Current uses: 4

workflow

workflows
Importance: 10/10
Heading presence: ‌ Moderate
Typical uses: 5–13
Current uses: 15

luigi

Importance: 10/10
Heading presence: ‌ High
Typical uses: 8–22
Current uses: 56

dag

dags
Importance: 9/10
Typical uses: 3–9
Current uses: 3

open source

open-source, opensource, open-sources
Importance: 9/10
Typical uses: 2–4
Current uses: 3

etl

etls
Importance: 9/10
Heading presence: ‌ Moderate
Typical uses: 4–10
Current uses: 12

scheduler

scheduling, schedule, schedules
Importance: 9/10
Typical uses: 2–6
Current uses: 14

dependencies

dependency
Importance: 8/10
Typical uses: 2–4
Current uses: 2

data pipelines

data pipeline, data pipelining, data-pipelines
Importance: 8/10
Heading presence: ‌ Low
Typical uses: 1–3
Current uses: 5

airbnb

airbnbs
Importance: 6/10
Typical uses: 1–3
Current uses: 2

aws

Importance: 6/10
Typical uses: 1–3
Current uses: -

spotify

Importance: 6/10
Typical uses: 1–3
Current uses: 1

directed acyclic graphs

directed acyclic graph
Importance: 6/10
Typical uses: 1–2
Current uses: -

hadoop

Importance: 6/10
Typical uses: 1–3
Current uses: 1

apache airflow

apache-airflow
Importance: 6/10
Heading presence: ‌ Low
Typical uses: 2–6
Current uses: 3

api

apis
Importance: 6/10
Typical uses: 2–4
Current uses: 4

nodes

node
Importance: 6/10
Typical uses: 1–2
Current uses: 1

workflow management

workflow manager, workflow managers
Importance: 6/10
Heading presence: ‌ Low
Typical uses: 2–6
Current uses: 8

machine learning

machine-learning
Importance: 5/10
Heading presence: ‌ Low
Typical uses: 1–2
Current uses: -

spark

Importance: 5/10
Heading presence: ‌ Low
Typical uses: 2–4
Current uses: -

visualization

visualizations, visual
Importance: 5/10
Typical uses: 1–3
Current uses: 2

data science

datascience
Importance: 5/10
Typical uses: 1–3
Current uses: 1

sql

Importance: 5/10
Typical uses: 1–3
Current uses: -

template

templates, templating
Importance: 5/10
Typical uses: 1–2
Current uses: 1

data engineers

data engineering, data engineer, dataengineer
Importance: 4/10
Typical uses: 1–3
Current uses: 2

command line

command-line, command lines
Importance: 4/10
Typical uses: 1–2
Current uses: -

extensible

extension, extensibility, extensions
Importance: 4/10
Typical uses: 1–3
Current uses: -

github

Importance: 4/10
Typical uses: 2–6
Current uses: 1

orchestration

orchestrator, orchestrators
Importance: 4/10
Typical uses: 2–4
Current uses: -

metadata

meta-data
Importance: 4/10
Typical uses: 1–2
Current uses: -

python package

python packages, python_packages
Importance: 4/10
Typical uses: 1–2
Current uses: 1

redshift

Importance: 4/10
Typical uses: 1–2
Current uses: -

automation

automic
Importance: 4/10
Typical uses: 1–3
Current uses: 2

tutorial

tutorials
Importance: 4/10
Typical uses: 1–2
Current uses: 1

data warehouse

data warehouses, datawarehouse
Importance: 3/10
Heading presence: ‌ Low
Typical uses: 2–6
Current uses: 1

data scientists

data scientist
Importance: 3/10
Typical uses: 1–3
Current uses: -

user interface

Importance: 3/10
Typical uses: 1–2
Current uses: 1

kubernetes

Importance: 3/10
Typical uses: 2–4
Current uses: -

data processing

Importance: 3/10
Typical uses: 1–3
Current uses: 1

use cases

use case, use-case, use-cases
Importance: 3/10
Typical uses: 1–3
Current uses: 1

data analysis

data analyses
Importance: 3/10
Typical uses: 1–2
Current uses: 1

ecosystems

ecosystem
Importance: 3/10
Typical uses: 1–2
Current uses: 1

use airflow

Importance: 3/10
Typical uses: 1–3
Current uses: 1

cron jobs

cron job, cronjob
Importance: 3/10
Typical uses: 1–2
Current uses: 1

amazon

Importance: 3/10
Typical uses: 1–2
Current uses: -

rerun

reruns
Importance: 3/10
Typical uses: 1–3
Current uses: 2

batch jobs

batch job
Importance: 3/10
Typical uses: 1–2
Current uses: 1

dataset

data sets, datasets, data set
Importance: 3/10
Typical uses: 1–3
Current uses: 1

big data

Importance: 3/10
Typical uses: 1–2
Current uses: 1

complex workflows

complex workflow
Importance: 3/10
Typical uses: 1–2
Current uses: 1

data flow

dataflow, data flows, dataflows
Importance: 3/10
Typical uses: 1–2
Current uses: 1

slack

Importance: 3/10
Typical uses: 1–2
Current uses: -

real-time

real time, realtime
Importance: 3/10
Typical uses: 1–3
Current uses: 1

data structures

data-structure, data structure
Importance: 3/10
Typical uses: 1–2
Current uses: 1

pandas

Importance: 2/10
Typical uses: 2–4
Current uses: -

algorithms

algorithm
Importance: 2/10
Typical uses: 1–2
Current uses: -

hive

Importance: 2/10
Typical uses: 1–2
Current uses: 1

data sources

data source, datasources
Importance: 2/10
Typical uses: 1–3
Current uses: 1

argo

Importance: 2/10
Typical uses: 1–3
Current uses: -