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