Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Amazon Managed Workflows for Apache Airflow (MWAA) is a service that simplifies the orchestration of Apache Airflow, allowing users to efficiently establish and manage comprehensive data pipelines in the cloud at scale. Apache Airflow itself is an open-source platform designed for the programmatic creation, scheduling, and oversight of workflows, which are sequences of various processes and tasks. By utilizing Managed Workflows, users can leverage Airflow and Python to design workflows while eliminating the need to handle the complexities of the underlying infrastructure, ensuring scalability, availability, and security. This service adapts its workflow execution capabilities automatically to align with user demands and incorporates AWS security features, facilitating swift and secure data access. Overall, MWAA empowers organizations to focus on their data processes without the burden of infrastructure management.

Description

Airflow is a community-driven platform designed for the programmatic creation, scheduling, and monitoring of workflows. With its modular architecture, Airflow employs a message queue to manage an unlimited number of workers, making it highly scalable. The system is capable of handling complex operations through its ability to define pipelines using Python, facilitating dynamic pipeline generation. This flexibility enables developers to write code that can create pipelines on the fly. Users can easily create custom operators and expand existing libraries, tailoring the abstraction level to meet their specific needs. The pipelines in Airflow are both concise and clear, with built-in parametrization supported by the robust Jinja templating engine. Eliminate the need for complex command-line operations or obscure XML configurations! Instead, leverage standard Python functionalities to construct workflows, incorporating date-time formats for scheduling and utilizing loops for the dynamic generation of tasks. This approach ensures that you retain complete freedom and adaptability when designing your workflows, allowing you to efficiently respond to changing requirements. Additionally, Airflow's user-friendly interface empowers teams to collaboratively refine and optimize their workflow processes.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AT&T Alien Labs Open Threat Exchange No 
Apache Druid No 
Control-M No 
Coursebox AI No 
Dagster No 
Decube No 
Google Cloud Managed Service for Apache Airflow No 
Great Expectations No 
IBM watsonx.data integration No 
IRI FieldShield No 
IRI Voracity No 
Kedro No 
Meltano No 
OpenMetadata No 
Pantomath No 
Ray No 
Sifflet No 
Soda No 
Telmai No 
intermix.io No 

Integrations

AT&T Alien Labs Open Threat Exchange Yes 
Apache Druid Yes 
Control-M Yes 
Coursebox AI Yes 
Dagster Yes 
Decube Yes 
Google Cloud Managed Service for Apache Airflow Yes 
Great Expectations Yes 
IBM watsonx.data integration Yes 
IRI FieldShield Yes 
IRI Voracity Yes 
Kedro Yes 
Meltano Yes 
OpenMetadata Yes 
Pantomath Yes 
Ray Yes 
Sifflet Yes 
Soda Yes 
Telmai Yes 
intermix.io Yes 

Pricing Details

$0.49 per hour
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/managed-workflows-for-apache-airflow/

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

airflow.apache.org

Product Features

Product Features

Workflow Management

Access Controls/Permissions No 
Approval Process Control No 
Business Process Automation No 
Calendar Management No 
Compliance Tracking No 
Configurable Workflow No 
Customizable Dashboard No 
Document Management No 
Forms Management No 
Graphical Workflow Editor No 
Mobile Access No 
No-Code No 
Task Management No 
Third Party Integrations No 
Workflow Configuration No 

Alternatives

Apache Airflow Reviews

Apache Airflow

The Apache Software Foundation

Alternatives

JAMS Scheduler Reviews

JAMS Scheduler

JAMS Software
Amazon MWAA Reviews

Amazon MWAA

Amazon
dbt Reviews

dbt

dbt Labs