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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

You determine the cluster size, node specifications, and a range of services, while Yandex Data Proc effortlessly sets up and configures Spark, Hadoop clusters, and additional components. Collaboration is enhanced through the use of Zeppelin notebooks and various web applications via a user interface proxy. You maintain complete control over your cluster with root access for every virtual machine. Moreover, you can install your own software and libraries on active clusters without needing to restart them. Yandex Data Proc employs instance groups to automatically adjust computing resources of compute subclusters in response to CPU usage metrics. Additionally, Data Proc facilitates the creation of managed Hive clusters, which helps minimize the risk of failures and data loss due to metadata issues. This service streamlines the process of constructing ETL pipelines and developing models, as well as managing other iterative operations. Furthermore, the Data Proc operator is natively integrated into Apache Airflow, allowing for seamless orchestration of data workflows. This means that users can leverage the full potential of their data processing capabilities with minimal overhead and maximum efficiency.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache Airflow Yes 
Python Yes 
APERIO DataWise Yes 
Apache HBase No 
Apache Hive No 
Apache Spark No 
Control-M Yes 
Google Cloud AI Infrastructure Yes 
Google Cloud BigQuery Yes 
Google Cloud Dataflow Yes 
Google Cloud Datastore Yes 
Google Cloud Storage Yes 
Hadoop No 
IBM watsonx.data integration Yes 
NumPy No 
Pantomath Yes 
TensorFlow No 
Yandex DataSphere No 
pandas No 
scikit-image No 

Integrations

Apache Airflow Yes 
Python Yes 
APERIO DataWise No 
Apache HBase Yes 
Apache Hive Yes 
Apache Spark Yes 
Control-M No 
Google Cloud AI Infrastructure No 
Google Cloud BigQuery No 
Google Cloud Dataflow No 
Google Cloud Datastore No 
Google Cloud Storage No 
Hadoop Yes 
IBM watsonx.data integration No 
NumPy Yes 
Pantomath No 
TensorFlow Yes 
Yandex DataSphere Yes 
pandas Yes 
scikit-image Yes 

Pricing Details

$0.074 per vCPU hour
Free Trial No 
Free Version No 

Pricing Details

$0.19 per hour
Free Trial Yes 
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 No 
Live Rep (24/7) Yes 
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 Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/products/managed-service-for-apache-airflow

Vendor Details

Company Name

Yandex

Founded

1997

Country

Russia

Website

cloud.yandex.com/en/services/data-proc

Product Features

Product Features

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