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Average Ratings 0 Ratings
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
Yes
API Access
Has API
Yes
Integrations
Yandex Cloud
Yes
Apache Airflow
No
Apache Flume
No
Apache HBase
No
Apache Hive
No
Apache Spark
No
Apache Zeppelin
No
Django
Yes
Hadoop
No
Matplotlib
No
Integrations
Yandex Cloud
Yes
Apache Airflow
Yes
Apache Flume
Yes
Apache HBase
Yes
Apache Hive
Yes
Apache Spark
Yes
Apache Zeppelin
Yes
Django
No
Hadoop
Yes
Matplotlib
Yes
Pricing Details
No price information available.
Free Trial
Yes
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
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
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
No
Code Assistance
No
Code Refactoring
No
Collaboration Tools
No
Compatibility Testing
No
Data Modeling
No
Debugging
No
Deployment Management
No
Graphical User Interface
No
Mobile Development
No
No-Code
No
Reporting/Analytics
No
Software Development
No
Source Control
No
Testing Management
No
Version Control
No
Web App Development
No