Amazon EMR

Easily run and scale Apache Spark, Hive, Presto, and other big data workloads

Run big data applications and petabyte-scale data analytics faster, and at less than half the cost of on-premises solutions.

Build applications using the latest open-source frameworks, with options to run on customized Amazon EC2 clusters, Amazon EKS, AWS Outposts, or Amazon EMR Serverless.

Get up to 2X faster time-to-insights with performance-optimized and open-source API-compatible versions of Spark, Hive, and Presto.

Easily develop, visualize, and debug your applications using EMR Notebooks and familiar open-source tools in EMR Studio.

How it works

Amazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interactive SQL queries, and machine learning (ML) applications using open-source analytics frameworks such as Apache Spark, Apache Hive, and Presto.

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Use cases

Perform big data analytics

Run large-scale data processing and what-if analysis using statistical algorithms and predictive models to uncover hidden patterns, correlations, market trends, and customer preferences.

Build scalable data pipelines

Extract data from a variety of sources, process it at scale, and make it available for applications and users.

Process real-time data streams

Analyze events from streaming data sources in real-time to create long-running, highly available, and fault-tolerant streaming data pipelines.

Accelerate data science and ML adoption

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.