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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 Conduktor?

We created Conduktor, an intuitive and comprehensive interface that enables users to effortlessly interact with the Apache Kafka ecosystem. With Conduktor DevTools, your all-in-one desktop client specifically designed for Apache Kafka, you can manage and develop with confidence, ensuring a smoother workflow for your entire team. While learning and mastering Apache Kafka can often be daunting, our passion for Kafka has driven us to design Conduktor to provide an outstanding user experience that appeals to developers. Instead of just serving as an interface, Conduktor equips you and your teams to take full control of your entire data pipeline, thanks to our integrations with a variety of technologies connected to Apache Kafka. By utilizing Conduktor, you unlock the most comprehensive toolkit for working with Apache Kafka, making your data management processes not only effective but also streamlined. This allows you to concentrate more on innovation and creativity while we take care of the complexities involved in your data workflows. Ultimately, Conduktor is not just a tool but a partner in enhancing your team's productivity and efficiency.

Media

Media

Integrations Supported

AWS Marketplace
Apache Airflow
Apache Flume
Apache HBase
Apache Hive
Apache Kafka
Apache Spark
Apache Zeppelin
Hadoop
Matplotlib
NumPy
Python
TensorFlow
Yandex Cloud
Yandex DataSphere
pandas
scikit-image

Integrations Supported

AWS Marketplace
Apache Airflow
Apache Flume
Apache HBase
Apache Hive
Apache Kafka
Apache Spark
Apache Zeppelin
Hadoop
Matplotlib
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

Pricing not provided.
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

Conduktor

Date Founded

2020

Company Location

United States

Company Website

www.conduktor.io

Categories and Features

Categories and Features

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