Apache Airflow

Apache Airflow

The Apache Software Foundation
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About

Airflow is a platform created by the community to programmatically author, schedule and monitor workflows. Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity. Airflow pipelines are defined in Python, allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. Easily define your own operators and extend libraries to fit the level of abstraction that suits your environment. Airflow pipelines are lean and explicit. Parametrization is built into its core using the powerful Jinja templating engine. No more command-line or XML black-magic! Use standard Python features to create your workflows, including date time formats for scheduling and loops to dynamically generate tasks. This allows you to maintain full flexibility when building your workflows.

About

You select the size of the cluster, node capacity, and a set of services, and Yandex Data Proc automatically creates and configures Spark and Hadoop clusters and other components. Collaborate by using Zeppelin notebooks and other web apps via a UI proxy. You get full control of your cluster with root permissions for each VM. Install your own applications and libraries on running clusters without having to restart them. Yandex Data Proc uses instance groups to automatically increase or decrease computing resources of compute subclusters based on CPU usage indicators. Data Proc allows you to create managed Hive clusters, which can reduce the probability of failures and losses caused by metadata unavailability. Save time on building ETL pipelines and pipelines for training and developing models, as well as describing other iterative tasks. The Data Proc operator is already built into Apache Airflow.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone who wants to to programmatically author, schedule and monitor workflows

Audience

Anyone interested in a solution for processing multi-terabyte data arrays

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$0.19 per hour
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

The Apache Software Foundation
Founded: 1999
United States
airflow.apache.org

Company Information

Yandex
Founded: 1997
Russia
cloud.yandex.com/en/services/data-proc

Alternatives

Alternatives

dbt

dbt

dbt Labs
Union Cloud

Union Cloud

Union.ai
CereVoice Me

CereVoice Me

CereProc
Amazon MWAA

Amazon MWAA

Amazon
esProc

esProc

Raqsoft
SAS Text Miner

SAS Text Miner

SAS Institute

Categories

Categories

Integrations

Apache Flume
Apache Spark
Coursebox AI
DataBuck
Datafold
Decube
Great Expectations
Hadoop
IRI FieldShield
Metaphor
Microsoft Purview
Netdata
Oxla
Prophecy
Python
Yandex DataSphere
ZenML
emma
lakeFS
scikit-image

Integrations

Apache Flume
Apache Spark
Coursebox AI
DataBuck
Datafold
Decube
Great Expectations
Hadoop
IRI FieldShield
Metaphor
Microsoft Purview
Netdata
Oxla
Prophecy
Python
Yandex DataSphere
ZenML
emma
lakeFS
scikit-image
Claim Apache Airflow and update features and information
Claim Apache Airflow and update features and information
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Claim Yandex Data Proc and update features and information