Audience

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

About Amazon EMR

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.

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Integrations

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Ratings/Reviews

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

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Company Information

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

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Product Details

Platforms Supported
Cloud
On-Premises
Training
Documentation
Support
Online

Amazon EMR Frequently Asked Questions

Q: What kinds of users and organization types does Amazon EMR work with?
Q: What languages does Amazon EMR support in their product?
Q: What kind of support options does Amazon EMR offer?
Q: What other applications or services does Amazon EMR integrate with?
Q: What type of training does Amazon EMR provide?

Amazon EMR Product Features

Big Data

Templates Not Supported
Data Visualization Not Supported
Collaboration Not Supported
Data Blends Not Supported
Data Cleansing Not Supported
Data Warehousing Not Supported
High Volume Processing Not Supported
Data Mining Not Supported
No-Code Sandbox Not Supported
Predictive Analytics Not Supported