EMR Serverless Now Available from AWS Posted on : Jun 06 - 2022

Amazon EMR, which ostensibly is the world’s most popular hosted Hadoop environment, is now generally available as a serverless offering, AWS announced today.

Amazon EMR Serverless will save customers time and money in several different ways, according to AWS. For starters, the new service automatically provisions and manages the underlying compute and memory needed based on the specific frameworks the customer is using, such as Apache Spark, Apache Hive, Presto, Flink, or good old MapReduce.

EMR Serverless also scales the underlying cluster up and down as dictated by changing data volumes and processing demands, the company says. That will help customers prevent over-provisioning a cluster to meet peak demand, only to have it sit mostly idle for long periods of time.

“With EMR Serverless, you can run analytics workloads at any scale with automatic scaling that resizes resources in seconds to meet changing data volumes and processing requirements,” AWS Principal Developer Advocate Channy Yun says in a blog post. “EMR Serverless automatically scales resources up and down to provide just the right amount of capacity for your application, and you only pay for what you use.”

To start an EMR Serverless job, customers select the open source framework they want to use, and then trigger their application to run using either APIs, CLIs, the AWS Management Console, or from EMR Studio, AWS says. View More