Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Dafne serves as an orchestration and data workflow engine primarily focused on automating data warehouse processes. It streamlines the creation, definition, scheduling, management, and oversight of production workflows and ETLs, enhancing visibility, reliability, and the handling of dependencies, priorities, and internal constraints, ultimately leading to improved service level agreements (SLAs) and overall performance metrics. Additionally, its user-friendly interface enables teams to efficiently adapt to changing data requirements.
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
Screenshots View All
No images available
Integrations
APERIO DataWise
No
Apache Airflow
No
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
Google Cloud Platform
No
Integrations
APERIO DataWise
Yes
Apache Airflow
Yes
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
Google Cloud Platform
Yes
Pricing Details
No price information available.
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
Yes
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
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Adastra
Founded
2000
Country
Canada
Website
adastracorp.com
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/products/managed-service-for-apache-airflow
Product Features
Workload Automation
Alerts / Notifications
No
Audit Trails
No
Business Process Management
No
Cross-Platform Scheduling
No
Dashboard
No
Data Analysis / Visualization
No
Event-Triggers
No
Load Balancing
No
Resource-Based Scheduling
No
Robotic Process Automation (RPA)
No
Workflow Foundation Support
No