Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Auth0 Reviews & Ratings
    860 Ratings
    Company Website
  • FusionAuth Reviews & Ratings
    119 Ratings
    Company Website
  • Cisco Duo Reviews & Ratings
    1,313 Ratings
    Company Website
  • Uniqkey Reviews & Ratings
    177 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    55,697 Ratings
    Company Website
  • StarTree Reviews & Ratings
    25 Ratings
    Company Website
  • Komodo Health Reviews & Ratings
    21 Ratings
    Company Website
  • Paligo Reviews & Ratings
    100 Ratings
    Company Website
  • SuiteMaster Reviews & Ratings
    1 Rating
    Company Website
  • Embark Campus Reviews & Ratings
    34 Ratings
    Company Website

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 Bigtop?

Bigtop is an initiative spearheaded by the Apache Foundation that caters to Infrastructure Engineers and Data Scientists in search of a comprehensive solution for packaging, testing, and configuring leading open-source big data technologies. It integrates numerous components and projects, including well-known technologies such as Hadoop, HBase, and Spark. By utilizing Bigtop, users can conveniently obtain Hadoop RPMs and DEBs, which simplifies the management and upkeep of their Hadoop clusters. Furthermore, the project incorporates a thorough integrated smoke testing framework, comprising over 50 test files designed to guarantee system reliability. In addition, Bigtop provides Vagrant recipes, raw images, and is in the process of developing Docker recipes to facilitate the hassle-free deployment of Hadoop from the ground up. This project supports various operating systems, including Debian, Ubuntu, CentOS, Fedora, openSUSE, among others. Moreover, Bigtop delivers a robust array of tools and frameworks for testing at multiple levels—including packaging, platform, and runtime—making it suitable for both initial installations and upgrade processes. This ensures a seamless experience not just for individual components but for the entire data platform, highlighting Bigtop's significance as an indispensable resource for professionals engaged in big data initiatives. Ultimately, its versatility and comprehensive capabilities establish Bigtop as a cornerstone for success in the ever-evolving landscape of big data technology.

Media

Media

Integrations Supported

Hadoop
Apache HBase
Apache Hive
Apache Solr
Apache Spark
Beats
Codecov
Compyl
Hue
Indent
Jenkins
Jira
Nextbase
PathPilot
Resmo
Small Hours
SpendHound
Zenduty

Integrations Supported

Hadoop
Apache HBase
Apache Hive
Apache Solr
Apache Spark
Beats
Codecov
Compyl
Hue
Indent
Jenkins
Jira
Nextbase
PathPilot
Resmo
Small Hours
SpendHound
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

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

bigtop.apache.org

Categories and Features

Categories and Features

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

Popular Alternatives

Popular Alternatives

NUnit Reviews & Ratings

NUnit

.NET Foundation
Apache Hive Reviews & Ratings

Apache Hive

Apache Software Foundation
Appium Reviews & Ratings

Appium

The JS Foundation
Apache Ranger Reviews & Ratings

Apache Ranger

The Apache Software Foundation
Pilvio Reviews & Ratings

Pilvio

Astrec Data OÜ