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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.
Description
Maxeler's cutting-edge dataflow solutions seamlessly fit into operational data centers, allowing for straightforward programming and management. These high-performance systems are specifically crafted to work within production server settings, ensuring compatibility with common operating systems and management applications. Our robust management software oversees resource allocation, scheduling, and data transfer throughout the dataflow computing framework. Furthermore, Maxeler dataflow nodes operate with standard Linux distributions, such as Red Hat Enterprise versions 4 and 5, without the need for any alterations. Any application designed for acceleration can function on a Maxeler node as a conventional Linux executable. Developers can create new applications by integrating the dataflow library into their existing code and utilizing simple function interfaces to access its capabilities. The MaxCompiler tool offers comprehensive debugging support throughout the development process, featuring a high-speed simulator that allows for code validation prior to implementation. This ensures that developers can optimize their applications effectively while minimizing the risk of errors. Additionally, Maxeler’s commitment to innovation guarantees that users can take advantage of the latest advancements in dataflow technology.
API Access
Has API
API Access
Has API
Integrations
APERIO DataWise
Apache Airflow
Dataform
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Datastore
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Cloud Pub/Sub
Integrations
APERIO DataWise
Apache Airflow
Dataform
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Datastore
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Cloud Pub/Sub
Pricing Details
$0.074 per vCPU hour
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/products/managed-service-for-apache-airflow
Vendor Details
Company Name
Maxeler Technologies
Founded
2003
Country
United Kingdom
Website
www.maxeler.com/products/software/
Product Features
Product Features
DevOps
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports