Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Integrations
Amazon MWAA
No
Apache Airflow
Yes
Azure Marketplace
No
Cake AI
No
DQOps
No
Dagster
No
DataBuck
No
Datakin
No
IBM watsonx.data integration
No
IRI Voracity
No
Integrations
Amazon MWAA
Yes
Apache Airflow
No
Azure Marketplace
Yes
Cake AI
Yes
DQOps
Yes
Dagster
Yes
DataBuck
Yes
Datakin
Yes
IBM watsonx.data integration
Yes
IRI Voracity
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