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Description

AWS Outposts is a comprehensive managed service that extends the capabilities of AWS infrastructure, services, APIs, and tools to nearly any data center, co-location site, or on-premises environment, ensuring a seamless hybrid cloud experience. It excels for workloads that necessitate low-latency connectivity to local systems, on-site data processing, data residency compliance, and the migration of applications with dependencies on local resources. With AWS compute, storage, database, and additional services operating locally on Outposts, users can utilize the complete suite of AWS offerings available in their specified Region to develop, oversee, and scale their on-premises applications with the familiar AWS ecosystem. Additionally, there is an upcoming VMware variant of AWS Outposts, which will provide a fully managed VMware Software-Defined Data Center (SDDC) operating on the AWS Outposts infrastructure in customer environments. This enhancement aims to further integrate VMware’s capabilities with AWS, allowing organizations to leverage both platforms efficiently.

Description

Amazon EMR stands as the leading cloud-based big data solution for handling extensive datasets through popular open-source frameworks like Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. This platform enables you to conduct Petabyte-scale analyses at a cost that is less than half of traditional on-premises systems and delivers performance more than three times faster than typical Apache Spark operations. For short-duration tasks, you have the flexibility to quickly launch and terminate clusters, incurring charges only for the seconds the instances are active. In contrast, for extended workloads, you can establish highly available clusters that automatically adapt to fluctuating demand. Additionally, if you already utilize open-source technologies like Apache Spark and Apache Hive on-premises, you can seamlessly operate EMR clusters on AWS Outposts. Furthermore, you can leverage open-source machine learning libraries such as Apache Spark MLlib, TensorFlow, and Apache MXNet for data analysis. Integrating with Amazon SageMaker Studio allows for efficient large-scale model training, comprehensive analysis, and detailed reporting, enhancing your data processing capabilities even further. This robust infrastructure is ideal for organizations seeking to maximize efficiency while minimizing costs in their data operations.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh
New Relic
AWS Data Pipeline
AWS Elastic Load Balancing
AWS Hybrid Cloud
Amazon SageMaker Unified Studio
Apache HBase
Apache Phoenix
Ataccama ONE
Cloudian
Data Virtuality
Immuta
Lyftrondata
Privacera
SAS Studio
Service Center
Sifflet
Tonic Ephemeral
TrustLogix

Integrations

AWS App Mesh
New Relic
AWS Data Pipeline
AWS Elastic Load Balancing
AWS Hybrid Cloud
Amazon SageMaker Unified Studio
Apache HBase
Apache Phoenix
Ataccama ONE
Cloudian
Data Virtuality
Immuta
Lyftrondata
Privacera
SAS Studio
Service Center
Sifflet
Tonic Ephemeral
TrustLogix

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/outposts/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/emr/

Product Features

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Data Center Management

Audit Trail
Behavior-Based Acceleration
Cross Reference System
Device Auto Discovery
Diagnostic Testing
Import / Export Data
JCL Management
Multi-Platform
Multi-User
Power Management
Sarbanes-Oxley Compliance

Product Features

Big Data

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

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