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
Managed Service for Apache Airflow is a cloud-based workflow orchestration service that simplifies the creation and management of complex data pipelines. Built on the open-source Apache Airflow framework, it allows users to define workflows using Python-based DAGs. The platform is fully managed, removing the need to provision or maintain infrastructure, which helps teams focus on pipeline development and execution. It integrates with a wide range of Google Cloud services, including BigQuery, Dataflow, Cloud Storage, and Managed Service for Apache Spark. The service supports hybrid and multi-cloud environments, enabling organizations to orchestrate workflows across different platforms. It offers advanced monitoring and troubleshooting tools, including visual workflow representations and logs. New features such as DAG versioning and improved scheduling enhance reliability and control. The platform also supports CI/CD pipelines and DevOps automation use cases. Its open-source foundation ensures flexibility and avoids vendor lock-in. Overall, it provides a powerful and scalable solution for managing data workflows and automation processes.
API Access
Has API
No
API Access
Has API
No
Integrations
Apache Airflow
Yes
APERIO DataWise
No
Amazon Web Services (AWS)
Yes
Control-M
No
Dataform
No
Google Cloud AI Infrastructure
No
Google Cloud BigQuery
No
Google Cloud Dataflow
No
Google Cloud Datastore
No
Google Cloud Managed Service for Apache Spark
No
Integrations
Apache Airflow
Yes
APERIO DataWise
Yes
Amazon Web Services (AWS)
No
Control-M
Yes
Dataform
Yes
Google Cloud AI Infrastructure
Yes
Google Cloud BigQuery
Yes
Google Cloud Dataflow
Yes
Google Cloud Datastore
Yes
Google Cloud Managed Service for Apache Spark
Yes
Pricing Details
$0.49 per hour
Free Trial
No
Free Version
No
Pricing Details
$0.074 per vCPU hour
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
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
Founded
1998
Country
United States
Website
cloud.google.com/products/managed-service-for-apache-airflow