Amazon EMR Serverless

Run big data applications using open-source frameworks without managing clusters and servers

Why EMR Serverless?

Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers. You get all the features and benefits of Amazon EMR without the need for experts to plan and manage clusters.

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      Benefits

      How it works

      1

      Create your application

      Choose the open-source framework and version you want to use.

      2

      Submit jobs

      Submit jobs to your application through APIs or EMR Studio. You can also submit jobs using workflow orchestration services like Apache Airflow or Amazon Managed Workflows for Apache Airflow.

      3

      Debug jobs

      Use familiar open-source tools such as Spark UI and Tez UI to monitor and debug jobs.

      Use cases