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What is Apache Ranger?

Apache Rangerâ„¢ is a holistic framework aimed at streamlining, supervising, and regulating data security within the Hadoop ecosystem. Its primary objective is to deliver strong security protocols throughout the entirety of the Apache Hadoop environment. The emergence of Apache YARN has enabled the Hadoop framework to support a true data lake architecture, which allows businesses to run multiple workloads within a shared environment. As Hadoop's data security evolves, it is essential for it to adjust to various data access scenarios while providing a centralized platform for the management of security policies and user activity oversight. A single security administration interface allows for the execution of all security functions through one user interface or by utilizing REST APIs. Moreover, Ranger offers fine-grained authorization capabilities, empowering users to carry out specific actions within Hadoop components or tools, all governed via a centralized administrative tool. This method not only harmonizes the authorization processes across all Hadoop elements but also improves the support for diverse authorization strategies, including role-based access control. Consequently, organizations can foster a secure and efficient data landscape while accommodating a wide range of user requirements. In addition, the continuous development of security features within Ranger ensures that it remains aligned with the ever-evolving landscape of data management and protection.

What is Apache Giraph?

Apache Giraph is a robust framework that enables scalable iterative processing of graphs, making it ideal for managing extensive datasets. A prime example of its application is Facebook, where it is employed to analyze the complex social graph that emerges from user interactions and relationships. Originally created as an open-source counterpart to Google's Pregel, which was introduced in a 2010 paper, Giraph embodies the principles laid out in Leslie Valiant's Bulk Synchronous Parallel model for distributed computing. Besides the core functionalities inherited from Pregel, Giraph boasts several improvements, including master computation, sharded aggregators, edge-centric input methods, and support for out-of-core processing. Thanks to its ongoing development, driven by an active global community, Giraph stands out as an exceptional choice for harnessing the capabilities of structured datasets on a large scale. Furthermore, its seamless integration into the Apache Hadoop ecosystem enhances its attractiveness for developers and data scientists, making it a versatile tool for various data processing tasks. This adaptability ensures that Giraph remains at the forefront of graph processing technology.

Media

Media

Integrations Supported

Apache HBase
Apache Hadoop YARN
Apache Hive
Apache Kafka
Apache Knox
Apache Solr
Apache Storm
Hadoop
PHEMI Health DataLab

Integrations Supported

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

ranger.apache.org

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

giraph.apache.org

Categories and Features

Data Governance

Not specified

Categories and Features

Graph Databases

Not specified

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