Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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

Write a Review

Alternatives to Consider

  • Google Cloud Platform Reviews & Ratings
    4.5 out of 5 stars 61,066 Ratings
    Company Website for Google Cloud Platform
  • Bacula Enterprise Reviews & Ratings
    4.5 out of 5 stars 125 Ratings
    Company Website for Bacula Enterprise
  • Auth0 Reviews & Ratings
    4.4 out of 5 stars 1,082 Ratings
    Company Website for Auth0
  • Ansarada Reviews & Ratings
    4.6 out of 5 stars 363 Ratings
    Company Website for Ansarada
  • ManageEngine Endpoint Central Reviews & Ratings
    4.6 out of 5 stars 3,347 Ratings
    Company Website for ManageEngine Endpoint Central
  • SCIKIQ Reviews & Ratings
    4.6 out of 5 stars 14 Ratings
    Company Website for SCIKIQ
  • Gearset Reviews & Ratings
    4.7 out of 5 stars 305 Ratings
    Company Website for Gearset
  • DataHub Reviews & Ratings
    4.5 out of 5 stars 10 Ratings
    Company Website for DataHub
  • KrakenD Reviews & Ratings
    4.7 out of 5 stars 76 Ratings
    Company Website for KrakenD
  • Paligo Reviews & Ratings
    4.5 out of 5 stars 104 Ratings
    Company Website for Paligo

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 Phoenix?

Apache Phoenix effectively merges online transaction processing (OLTP) with operational analytics in the Hadoop ecosystem, making it suitable for applications that require low-latency responses by blending the advantages of both domains. It utilizes standard SQL and JDBC APIs while providing full ACID transaction support, as well as the flexibility of schema-on-read common in NoSQL systems through its use of HBase for storage. Furthermore, Apache Phoenix integrates effortlessly with various components of the Hadoop ecosystem, including Spark, Hive, Pig, Flume, and MapReduce, thereby establishing itself as a robust data platform for both OLTP and operational analytics through the use of widely accepted industry-standard APIs. The framework translates SQL queries into a series of HBase scans, efficiently managing these operations to produce traditional JDBC result sets. By making direct use of the HBase API and implementing coprocessors along with specific filters, Apache Phoenix delivers exceptional performance, often providing results in mere milliseconds for smaller queries and within seconds for extensive datasets that contain millions of rows. This outstanding capability positions it as an optimal solution for applications that necessitate swift data retrieval and thorough analysis, further enhancing its appeal in the field of big data processing. Its ability to handle complex queries with efficiency only adds to its reputation as a top choice for developers seeking to harness the power of Hadoop for both transactional and analytical workloads.

Media

Media

Integrations Supported

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

Integrations Supported

Apache HBase
Apache Hive
Hadoop
3forge
Amazon EMR
Apache Flume
Apache Spark
Data Sentinel
NoSQL
Python
SQL
Salesforce Data 360
Trino

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

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 Website

phoenix.apache.org

Categories and Features

Data Governance

Not specified

Categories and Features

Embedded Database

Not specified

Relational Database

Not specified

SQL Databases

Not specified

Popular Alternatives

Apache Sentry Reviews & Ratings

Apache Sentry

Apache Software Foundation

Popular Alternatives

Apache Trafodion Reviews & Ratings

Apache Trafodion

Apache Software Foundation
Apache Spark Reviews & Ratings

Apache Spark

Apache Software Foundation
Apache Trafodion Reviews & Ratings

Apache Trafodion

Apache Software Foundation