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Average Ratings 0 Ratings

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ease
features
design
support

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Description

YARN's core concept revolves around the division of resource management and job scheduling/monitoring into distinct daemons, aiming for a centralized ResourceManager (RM) alongside individual ApplicationMasters (AM) for each application. Each application can be defined as either a standalone job or a directed acyclic graph (DAG) of jobs. Together, the ResourceManager and NodeManager create the data-computation framework, with the ResourceManager serving as the primary authority that allocates resources across all applications in the environment. Meanwhile, the NodeManager acts as the local agent on each machine, overseeing containers and tracking their resource consumption, including CPU, memory, disk, and network usage, while also relaying this information back to the ResourceManager or Scheduler. The ApplicationMaster functions as a specialized library specific to its application, responsible for negotiating resources with the ResourceManager and coordinating with the NodeManager(s) to efficiently execute and oversee the execution of tasks, ensuring optimal resource utilization and job performance throughout the process. This separation allows for more scalable and efficient management in complex computing environments.

Description

EMR allows you to adjust the size of your managed Hadoop clusters either manually or automatically, adapting to your business needs and monitoring indicators. Its architecture separates storage from computation, which gives you the flexibility to shut down a cluster to optimize resource utilization effectively. Additionally, EMR features hot failover capabilities for CBS-based nodes, utilizing a primary/secondary disaster recovery system that enables the secondary node to activate within seconds following a primary node failure, thereby ensuring continuous availability of big data services. The metadata management for components like Hive is also designed to support remote disaster recovery options. With computation-storage separation, EMR guarantees high data persistence for COS data storage, which is crucial for maintaining data integrity. Furthermore, EMR includes a robust monitoring system that quickly alerts you to cluster anomalies, promoting stable operations. Virtual Private Clouds (VPCs) offer an effective means of network isolation, enhancing your ability to plan network policies for managed Hadoop clusters. This comprehensive approach not only facilitates efficient resource management but also establishes a reliable framework for disaster recovery and data security.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ActiveBatch Workload Automation Yes 
Apache Knox Yes 
Apache PredictionIO Yes 
Apache Ranger Yes 
Astera Dataprep Yes 
Cloudera Data Platform Yes 
DX Unified Infrastructure Management Yes 
Hue Yes 
IronCore Labs Yes 
RunCode Yes 
Sematext Cloud Yes 
Tencent Cloud No 
Terminals Yes 
Velotix Yes 
WINDEV Yes 

Integrations

ActiveBatch Workload Automation No 
Apache Knox No 
Apache PredictionIO No 
Apache Ranger No 
Astera Dataprep No 
Cloudera Data Platform No 
DX Unified Infrastructure Management No 
Hue No 
IronCore Labs No 
RunCode No 
Sematext Cloud No 
Tencent Cloud Yes 
Terminals No 
Velotix No 
WINDEV 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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

Uniited States

Website

hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN.html

Vendor Details

Company Name

Tencent

Founded

2013

Country

China

Website

intl.cloud.tencent.com/product/emr

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

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