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Description
Yandex Cloud allows users to build fully operational applications using a collection of seamlessly integrated components. These applications come pre-configured with necessary integrations to Yandex Cloud services, and the deployment process is streamlined and automated. You have the flexibility to deploy your application's source code directly within your own cloud environment, making it easy to tailor the code to your specific requirements. The platform employs templates that have been developed and rigorously tested by the Yandex Cloud team to facilitate application deployment. Utilizing cloud applications can help you maximize efficiency in the cloud, ultimately saving time that would typically be spent on component rollouts. A comprehensive suite of tools is available for deploying code alongside Yandex Cloud services. Although there are costs associated with the services, the applications themselves can be accessed free of charge. The service automatically manages the deployment and configuration of all necessary Yandex Cloud components for the application to operate effectively. Resources are allocated under the specific service account designated for the application, and the platform also keeps a record of the resources created. This systematic approach ensures that all aspects of application deployment are handled with precision and efficiency.
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
API Access
Has API
Integrations
Yandex Cloud
Apache Airflow
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Apache Zeppelin
Django
Hadoop
Matplotlib
Integrations
Yandex Cloud
Apache Airflow
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Apache Zeppelin
Django
Hadoop
Matplotlib
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.19 per hour
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
Yandex
Founded
1997
Country
Russia
Website
cloud.yandex.com/en/services/cloud-apps
Vendor Details
Company Name
Yandex
Founded
1997
Country
Russia
Website
cloud.yandex.com/en/services/data-proc
Product Features
Application Development
Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development