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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 Atlas?

Atlas is a powerful and flexible suite of crucial governance services that enables organizations to meet their compliance requirements effectively within Hadoop, while also integrating smoothly with the larger enterprise data environment. Apache Atlas equips organizations with the tools to oversee open metadata and governance, allowing them to build an extensive catalog of their data assets, classify and manage these resources, and encourage collaboration among data scientists, analysts, and the governance team. It comes with predefined types for a wide range of metadata relevant to both Hadoop and non-Hadoop settings, and it also allows for the creation of custom types to better handle metadata management. These custom types can include basic attributes, complex attributes, and references to objects, and they can inherit features from other types. Entities serve as instances of these types, containing specific details about the metadata objects and their relationships. Moreover, the provision of REST APIs streamlines interaction with types and instances, thereby improving the overall connectivity and functionality within the data framework. This holistic strategy guarantees that organizations can adeptly manage their data governance requirements while remaining responsive to changing demands, ultimately leading to more effective data stewardship. Furthermore, by utilizing Atlas, organizations can enhance their data integrity and compliance efforts, further strengthening their operational resilience.

Media

Media

Integrations Supported

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

Integrations Supported

Hadoop
Amazon Web Services (AWS)
Azure Data Lake
Beats
Hackolade
Hive Data
Hue
JanusGraph
Occubee
Spark

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

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
On-Site Training

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

atlas.apache.org/#/

Categories and Features

Data Governance

Not specified

Categories and Features

Data Catalog

Not specified

Data Governance

Not specified

Data Lineage

Not specified

Data Masking

Not specified

Metadata Management

Not specified

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