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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

Apache Ranger™ serves as a framework designed to facilitate, oversee, and manage extensive data security within the Hadoop ecosystem. The goal of Ranger is to implement a thorough security solution throughout the Apache Hadoop landscape. With the introduction of Apache YARN, the Hadoop platform can effectively accommodate a genuine data lake architecture, allowing businesses to operate various workloads in a multi-tenant setting. As the need for data security in Hadoop evolves, it must adapt to cater to diverse use cases regarding data access, while also offering a centralized framework for the administration of security policies and the oversight of user access. This centralized security management allows for the execution of all security-related tasks via a unified user interface or through REST APIs. Additionally, Ranger provides fine-grained authorization, enabling specific actions or operations with any Hadoop component or tool managed through a central administration tool. It standardizes authorization methods across all Hadoop components and enhances support for various authorization strategies, including role-based access control, thereby ensuring a robust security framework. By doing so, it significantly strengthens the overall security posture of organizations leveraging Hadoop technologies.

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 

Screenshots View All

Screenshots View All

Integrations

Apache HBase Yes 
Apache Hive Yes 
Hadoop Yes 
Apache Airflow No 
Apache Flume No 
Apache Hadoop YARN Yes 
Apache Kafka Yes 
Apache Knox Yes 
Apache Solr Yes 
Apache Spark No 
Apache Storm Yes 
Apache Zeppelin No 
Matplotlib No 
NumPy No 
PHEMI Health DataLab Yes 
Python No 
TensorFlow No 
Yandex Cloud No 
pandas No 
scikit-image No 

Integrations

Apache HBase Yes 
Apache Hive Yes 
Hadoop Yes 
Apache Airflow Yes 
Apache Flume Yes 
Apache Hadoop YARN No 
Apache Kafka No 
Apache Knox No 
Apache Solr No 
Apache Spark Yes 
Apache Storm No 
Apache Zeppelin Yes 
Matplotlib Yes 
NumPy Yes 
PHEMI Health DataLab No 
Python Yes 
TensorFlow Yes 
Yandex Cloud Yes 
pandas Yes 
scikit-image Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

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) 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

The Apache Software Foundation

Founded

1999

Country

United States

Website

ranger.apache.org

Vendor Details

Company Name

Yandex

Founded

1997

Country

Russia

Website

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

Product Features

Data Governance

Access Control No 
Data Discovery No 
Data Mapping No 
Data Profiling No 
Deletion Management No 
Email Management No 
Policy Management No 
Process Management No 
Roles Management No 
Storage Management No 

Product Features

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