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ease
features
design
support

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Description

Apache Sentry™ serves as a robust system for implementing detailed role-based authorization for both data and metadata within a Hadoop cluster environment. Achieving Top-Level Apache project status after graduating from the Incubator in March 2016, Apache Sentry is recognized for its effectiveness in managing granular authorization. It empowers users and applications to have precise control over access privileges to data stored in Hadoop, ensuring that only authenticated entities can interact with sensitive information. Compatibility extends to a range of frameworks, including Apache Hive, Hive Metastore/HCatalog, Apache Solr, Impala, and HDFS, though its primary focus is on Hive table data. Designed as a flexible and pluggable authorization engine, Sentry allows for the creation of tailored authorization rules that assess and validate access requests for various Hadoop resources. Its modular architecture increases its adaptability, making it capable of supporting a diverse array of data models within the Hadoop ecosystem. This flexibility positions Sentry as a vital tool for organizations aiming to manage their data security effectively.

Description

Minimize the likelihood of piecemeal and reactive operational decision-making by implementing analytically based business rules to enhance and streamline decisions throughout your organization. The SAS Business Rules Manager offers a centralized repository for rules, serving as a unified platform for overseeing the development and implementation of rules, along with automating workflows. Administrators benefit from a singular control point that manages user authorization, access, and security settings for each individual. An integrated workflow allows for the customization of processes while ensuring that all publishing activities are traceable and properly versioned. Furthermore, the system grants detailed control over rule functionalities, which upholds role-based security to confirm that users possess the necessary authorizations. By leveraging analytical modeling, businesses can extract rules directly from their operational data, enabling the automatic production of rule definitions and associated vocabularies. This approach not only enhances decision-making but also fosters a more consistent and reliable operational environment.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AccessOwl
Adaptive
Apache Hive
Apache Solr
Codecov
Compyl
DECADIS Control Center
Hadoop
Hue
Indent
Nextbase
PathPilot
Resmo
SAS Data Loader for Hadoop
SAS MDM
Small Hours
SpendHound
TaskCall
Zenduty

Integrations

AccessOwl
Adaptive
Apache Hive
Apache Solr
Codecov
Compyl
DECADIS Control Center
Hadoop
Hue
Indent
Nextbase
PathPilot
Resmo
SAS Data Loader for Hadoop
SAS MDM
Small Hours
SpendHound
TaskCall
Zenduty

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

sentry.apache.org

Vendor Details

Company Name

SAS Institute

Founded

1976

Country

United States

Website

www.sas.com/en_us/software/business-rules-manager.html

Product Features

Product Features

Business Rules Management Systems (BRMS)

Access Control / Permissions
Code Development Environment
Deploy Across Platforms
Flexible Hosting Options
Lifecycle Management
No Code Development
Simulation
Validation Tools

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