Amazon EMR

Amazon EMR

Amazon
MapReduce

MapReduce

Baidu AI Cloud
+
+

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About

Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. With EMR you can run Petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. For short-running jobs, you can spin up and spin down clusters and pay per second for the instances used. For long-running workloads, you can create highly available clusters that automatically scale to meet demand. If you have existing on-premises deployments of open-source tools such as Apache Spark and Apache Hive, you can also run EMR clusters on AWS Outposts. Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting.

About

You can perform on-demand deployment and automatic scaling of the cluster, and focus on the big data processing, analysis, and reporting only. Thanks to many years’ of massively distributed computing technology accumulation, Our operations team can undertake the cluster operations. It automatically scales up clusters to improve the computing ability in peak periods and scales down clusters to reduce the cost in the valley period. It provides the management console to facilitate cluster management, template customization, task submission, and alarm monitoring. By deploying together with the BCC, it focuses on its own business in a busy time and helps the BMR to compute the big data in free time, reducing the overall IT expenditure.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies that want to easily run and scale Apache Spark, Hive, Presto, and other big data frameworks

Audience

Organizations looking for a platform that provides massive data analysis and mining ability

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/emr/

Company Information

Baidu AI Cloud
Founded: 2000
China
intl.cloud.baidu.com/product/bmr.html

Alternatives

AWS Glue

AWS Glue

Amazon

Alternatives

E-MapReduce

E-MapReduce

Alibaba
HPE Performance Cluster Manager

HPE Performance Cluster Manager

Hewlett Packard Enterprise
Apache Spark

Apache Spark

Apache Software Foundation

Categories

Big Data Supported

Categories

Big Data Supported
Cluster Management Supported

Integrations

AWS Lake Formation Supported
Amazon SageMaker Studio Supported
Amazon SageMaker Unified Studio Supported
Apache Hive Supported
Apache Phoenix Supported
Ataccama ONE Supported
Data Virtuality Supported
EC2 Spot Supported
Feast Supported
Immuta Supported
Lyftrondata Supported
New Relic Supported
Okera Supported
Protegrity Supported
SAS Studio Supported
Service Center Supported
Sifflet Supported
Tecton Supported
Unravel Supported
definity Supported

Integrations

AWS Lake Formation Not Supported
Amazon SageMaker Studio Not Supported
Amazon SageMaker Unified Studio Not Supported
Apache Hive Not Supported
Apache Phoenix Not Supported
Ataccama ONE Not Supported
Data Virtuality Not Supported
EC2 Spot Not Supported
Feast Not Supported
Immuta Not Supported
Lyftrondata Not Supported
New Relic Not Supported
Okera Not Supported
Protegrity Not Supported
SAS Studio Not Supported
Service Center Not Supported
Sifflet Not Supported
Tecton Not Supported
Unravel Not Supported
definity Not Supported
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