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ease
features
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support

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Description

The Knox API Gateway functions as a reverse proxy, prioritizing flexibility in policy enforcement and backend service management for the requests it handles. It encompasses various aspects of policy enforcement, including authentication, federation, authorization, auditing, dispatch, host mapping, and content rewriting rules. A chain of providers, specified in the topology deployment descriptor associated with each Apache Hadoop cluster secured by Knox, facilitates this policy enforcement. Additionally, the cluster definition within the descriptor helps the Knox Gateway understand the structure of the cluster, enabling effective routing and translation from user-facing URLs to the internal workings of the cluster. Each secured Apache Hadoop cluster is equipped with its own REST APIs, consolidated under a unique application context path. Consequently, the Knox Gateway can safeguard numerous clusters while offering REST API consumers a unified endpoint for seamless access. This design enhances both security and usability by simplifying interactions with multiple backend services.

Description

Apache Mahout is an advanced and adaptable machine learning library that excels in processing distributed datasets efficiently. It encompasses a wide array of algorithms suitable for tasks such as classification, clustering, recommendation, and pattern mining. By integrating seamlessly with the Apache Hadoop ecosystem, Mahout utilizes MapReduce and Spark to facilitate the handling of extensive datasets. This library functions as a distributed linear algebra framework, along with a mathematically expressive Scala domain-specific language, which empowers mathematicians, statisticians, and data scientists to swiftly develop their own algorithms. While Apache Spark is the preferred built-in distributed backend, Mahout also allows for integration with other distributed systems. Matrix computations play a crucial role across numerous scientific and engineering disciplines, especially in machine learning, computer vision, and data analysis. Thus, Apache Mahout is specifically engineered to support large-scale data processing by harnessing the capabilities of both Hadoop and Spark, making it an essential tool for modern data-driven applications.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Hadoop Yes 
Apache Flink Yes 
Apache HBase Yes 
Apache Hadoop YARN Yes 
Apache Hive Yes 
Apache Ranger Yes 
Apache Solr Yes 
Apache Spark No 
Apache Storm Yes 
Cloudera Yes 
Hue Yes 

Integrations

Hadoop Yes 
Apache Flink No 
Apache HBase No 
Apache Hadoop YARN No 
Apache Hive No 
Apache Ranger No 
Apache Solr No 
Apache Spark Yes 
Apache Storm No 
Cloudera No 
Hue No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

knox.apache.org

Vendor Details

Company Name

Apache Software Foundation

Country

United States

Website

mahout.apache.org

Product Features

API Management

API Design No 
API Lifecycle Management No 
Access Control No 
Analytics No 
Dashboard No 
Developer Portal No 
Testing Management No 
Threat Protection No 
Traffic Control No 
Version Control No 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

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