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What is Apache Sentry?

Apache Sentryâ„¢ is a powerful solution for implementing comprehensive role-based access control for both data and metadata in Hadoop clusters. Officially advancing from the Incubator stage in March 2016, it has gained recognition as a Top-Level Apache project. Designed specifically for Hadoop, Sentry acts as a fine-grained authorization module that allows users and applications to manage access privileges with great precision, ensuring that only verified entities can execute certain actions within the Hadoop ecosystem. It integrates smoothly with multiple components, including Apache Hive, Hive Metastore/HCatalog, Apache Solr, Impala, and HDFS, though it has certain limitations concerning Hive table data. Constructed as a pluggable authorization engine, Sentry's design enhances its flexibility and effectiveness across a variety of Hadoop components. By enabling the creation of specific authorization rules, it accurately validates access requests for various Hadoop resources. Its modular architecture is tailored to accommodate a wide array of data models employed within the Hadoop framework, further solidifying its status as a versatile solution for data governance and security. Consequently, Apache Sentry emerges as an essential tool for organizations that strive to implement rigorous data access policies within their Hadoop environments, ensuring robust protection of sensitive information. This capability not only fosters compliance with regulatory standards but also instills greater confidence in data management practices.

What is Apache Axiom?

The Apache Axiomâ„¢ library provides a compliant object model for XML Infoset that allows for the on-demand creation of the object tree. With its unique "pull-through" design, users have the option to bypass tree construction and instead engage directly with the underlying pull event stream through the StAX API. Furthermore, it supports XML Optimized Packaging (XOP) and MTOM, which allows for the efficient and smooth transmission of binary data within XML documents. This integration results in a user-centric API paired with a highly efficient architecture that enhances performance. Initially developed as a part of Apache Axis2, Apache Axiom stands as the core component of that framework; however, it also operates independently as a distinct XML Infoset model, offering developers a flexible tool that can be employed outside of Apache Axis2. Its ability to manage both structured and unstructured data significantly broadens its usability across diverse applications, making it an attractive option for developers seeking robust solutions. This versatility positions Apache Axiom as a valuable asset in modern XML processing.

Media

Media

Integrations Supported

Adaptive
Apache Hive
Apache Solr
Codecov
Compyl
CrowdSec
Hadoop
Hue
Indent
Nextbase
PathPilot
Resmo
Small Hours
SpendHound
TaskCall
Zenduty

Integrations Supported

Adaptive
Apache Hive
Apache Solr
Codecov
Compyl
CrowdSec
Hadoop
Hue
Indent
Nextbase
PathPilot
Resmo
Small Hours
SpendHound
TaskCall
Zenduty

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

sentry.apache.org

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

ws.apache.org/axiom/

Categories and Features

Categories and Features

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