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

  • Google Cloud Platform Reviews & Ratings
    60,586 Ratings
    Company Website
  • Auth0 Reviews & Ratings
    1,029 Ratings
    Company Website
  • Carbide Reviews & Ratings
    88 Ratings
    Company Website
  • DriveLock Reviews & Ratings
    1 Rating
    Company Website
  • Ansarada Reviews & Ratings
    352 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    1,105 Ratings
    Company Website
  • Reflectiz Reviews & Ratings
    29 Ratings
    Company Website
  • Gearset Reviews & Ratings
    270 Ratings
    Company Website
  • DataHub Reviews & Ratings
    10 Ratings
    Company Website
  • Paligo Reviews & Ratings
    99 Ratings
    Company Website

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 Mahout?

Apache Mahout is a powerful and flexible library designed for machine learning, focusing on data processing within distributed environments. It offers a wide variety of algorithms tailored for diverse applications, including classification, clustering, recommendation systems, and pattern mining. Built on the Apache Hadoop framework, Mahout effectively utilizes both MapReduce and Spark technologies to manage large datasets efficiently. This library acts as a distributed linear algebra framework and includes a mathematically expressive Scala DSL, which allows mathematicians, statisticians, and data scientists to develop custom algorithms rapidly. Although Apache Spark is primarily used as the default distributed back-end, Mahout also supports integration with various other distributed systems. Matrix operations are vital in many scientific and engineering disciplines, which include fields such as machine learning, computer vision, and data analytics. By leveraging the strengths of Hadoop and Spark, Apache Mahout is expertly optimized for large-scale data processing, positioning it as a key resource for contemporary data-driven applications. Additionally, its intuitive design and comprehensive documentation empower users to implement intricate algorithms with ease, fostering innovation in the realm of data science. Users consistently find that Mahout's features significantly enhance their ability to manipulate and analyze data effectively.

Media

Media

Integrations Supported

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

Integrations Supported

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

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

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

ranger.apache.org

Company Facts

Organization Name

Apache Software Foundation

Company Location

United States

Company Website

mahout.apache.org

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Popular Alternatives

Apache Sentry Reviews & Ratings

Apache Sentry

Apache Software Foundation

Popular Alternatives

MLlib Reviews & Ratings

MLlib

Apache Software Foundation
Apache Spark Reviews & Ratings

Apache Spark

Apache Software Foundation
Apache Trafodion Reviews & Ratings

Apache Trafodion

Apache Software Foundation
E-MapReduce Reviews & Ratings

E-MapReduce

Alibaba