Amazon EMR

Amazon EMR

Amazon
Java

Java

Oracle
+

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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

Thousands of customers use Amazon Managed Service for Apache Flink to run stream processing applications. With Amazon Managed Service for Apache Flink, you can transform and analyze streaming data in real-time using Apache Flink and integrate applications with other AWS services. There are no servers and clusters to manage, and there is no computing and storage infrastructure to set up. You pay only for the resources you use. Build and run Apache Flink applications, without setting up infrastructure and managing resources and clusters. Process gigabytes of data per second with subsecond latencies and respond to events in real-time. Deploy highly available and durable applications with Multi-AZ deployments and APIs for application lifecycle management. Develop applications that transform and deliver data to Amazon Simple Storage Service (Amazon S3), Amazon OpenSearch Service, and more.

About

The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Developers wanting a tool to build and run fully managed Apache Flink applications

Audience

Developers looking for a Programming Language solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$0.11 per hour
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/managed-service-apache-flink/

Company Information

Oracle
docs.oracle.com/javase/8/docs/technotes/guides/language/index.html

Alternatives

Alternatives

Apache Flink

Apache Flink

Apache Software Foundation

Alternatives

E-MapReduce

E-MapReduce

Alibaba
Amazon EMR

Amazon EMR

Amazon
E-MapReduce

E-MapReduce

Alibaba
Apache Spark

Apache Spark

Apache Software Foundation

Categories

Categories

Categories

Integrations

16x Prompt
Artelys Knitro
Astah Professional
CTRLpotato
CodePeer
CodeSign Secure
DXcharts
Death By Captcha
DevGPT
Equip
Flawnter
IriMaster
Jazzer
Progress DataDirect
Queue-Fair
Replit Agent
RubyMotion
SBOX
Selenic
Zenserp

Integrations

16x Prompt
Artelys Knitro
Astah Professional
CTRLpotato
CodePeer
CodeSign Secure
DXcharts
Death By Captcha
DevGPT
Equip
Flawnter
IriMaster
Jazzer
Progress DataDirect
Queue-Fair
Replit Agent
RubyMotion
SBOX
Selenic
Zenserp

Integrations

16x Prompt
Artelys Knitro
Astah Professional
CTRLpotato
CodePeer
CodeSign Secure
DXcharts
Death By Captcha
DevGPT
Equip
Flawnter
IriMaster
Jazzer
Progress DataDirect
Queue-Fair
Replit Agent
RubyMotion
SBOX
Selenic
Zenserp
Claim Amazon EMR and update features and information
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