Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • DataBuck Reviews & Ratings
    6 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    55,697 Ratings
    Company Website
  • SKUDONET Reviews & Ratings
    6 Ratings
    Company Website
  • NeoLoad Reviews & Ratings
    360 Ratings
    Company Website
  • JS7 JobScheduler Reviews & Ratings
    Company Website
  • Pipeliner CRM Reviews & Ratings
    734 Ratings
    Company Website
  • Lumio Reviews & Ratings
    189 Ratings
    Company Website
  • PYPROXY Reviews & Ratings
    5 Ratings
    Company Website
  • Zoho Assist Reviews & Ratings
    36 Ratings
    Company Website
  • Nostra Reviews & Ratings
    11 Ratings
    Company Website

What is Yandex Data Proc?

You decide on the cluster size, node specifications, and various services, while Yandex Data Proc takes care of the setup and configuration of Spark and Hadoop clusters, along with other necessary components. The use of Zeppelin notebooks alongside a user interface proxy enhances collaboration through different web applications. You retain full control of your cluster with root access granted to each virtual machine. Additionally, you can install custom software and libraries on active clusters without requiring a restart. Yandex Data Proc utilizes instance groups to dynamically scale the computing resources of compute subclusters based on CPU usage metrics. The platform also supports the creation of managed Hive clusters, which significantly reduces the risk of failures and data loss that may arise from metadata complications. This service simplifies the construction of ETL pipelines and the development of models, in addition to facilitating the management of various iterative tasks. Moreover, the Data Proc operator is seamlessly integrated into Apache Airflow, which enhances the orchestration of data workflows. Thus, users are empowered to utilize their data processing capabilities to the fullest, ensuring minimal overhead and maximum operational efficiency. Furthermore, the entire system is designed to adapt to the evolving needs of users, making it a versatile choice for data management.

What is Microsoft Graph Data Connect?

Microsoft Graph acts as a vital conduit for businesses to tap into Microsoft 365 data, emphasizing key aspects like productivity, identity, and security. A standout feature, Microsoft Graph Data Connect, enables developers to transfer selected datasets from Microsoft 365 to Azure data stores securely and efficiently. This capability proves especially advantageous for the development of machine learning and AI models, which can extract meaningful insights to enhance analytical solutions. Developers are afforded the convenience of transferring substantial amounts of data from their Microsoft 365 tenant directly into Azure Data Factory, requiring no coding expertise. This efficient process guarantees that organizations can access the necessary data, consistently delivered to their applications on a predetermined schedule, all achieved with minimal effort. Moreover, the Microsoft Graph Data Connect incorporates a detailed consent framework that allows organizations to control data access meticulously. This framework necessitates that developers explicitly specify the data types or content filters their applications will employ. In addition, explicit permission from administrators is required prior to any access to Microsoft 365 data, reinforcing a secure and regulated data management environment. Consequently, organizations are empowered to harness their data effectively while upholding stringent compliance and oversight, ensuring that data governance remains a top priority. This comprehensive approach not only facilitates data utilization but also fosters trust among stakeholders regarding data security and privacy.

Media

Media

Integrations Supported

Apache Airflow
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Apache Zeppelin
Hadoop
Matplotlib
Microsoft 365
Microsoft Azure
NumPy
Python
TensorFlow
Yandex Cloud
Yandex DataSphere
pandas
scikit-image

Integrations Supported

Apache Airflow
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Apache Zeppelin
Hadoop
Matplotlib
Microsoft 365
Microsoft Azure
NumPy
Python
TensorFlow
Yandex Cloud
Yandex DataSphere
pandas
scikit-image

API Availability

Has API

API Availability

Has API

Pricing Information

$0.19 per hour
Free Trial Offered?
Free Version

Pricing Information

$0.75 per 1K objects extracted
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Yandex

Date Founded

1997

Company Location

Russia

Company Website

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

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/graph-data-connect/

Categories and Features

Categories and Features

Popular Alternatives

Amazon MWAA Reviews & Ratings

Amazon MWAA

Amazon

Popular Alternatives

Astro Reviews & Ratings

Astro

Astronomer