When it comes to data processing, both systems provide many alternatives. AWS provides EMR (Elastic MapReduce) for massive data processing, Glue for ETL, and Lambda for serverless services.

It also added the capability for data scientists to connect to, debug, and monitor EMR-based Spark jobs ... training time by up to 50%. AWS says it can take up to 25,000 GPU-hours to train the RoBERTa ...

Enterprises also need purpose-built analytics services (supporting workloads like SQL analytics, search analytics, big data processing ... Amazon EMR, Amazon Redshift, AWS Glue and the existing ...

Organizations can now also now run Apache Spark (an analytics engine for large-scale data processing ... using AWS analytics and machine learning (ML) services (such as Amazon EMR, AWS Glue ...

Amazon Web Services Inc. has ... for large-scale distributed data processing jobs, interactive SQL queries and machine learning applications. Customers can use EMR Serverless to specify the ...

The next generation of SageMaker brings together these capabilities—along with some exciting new features—to give customers all the tools they need for data processing, SQL analytics ...

Many customers also rely on the comprehensive set of purpose-built analytics services from AWS to support a wide range of workloads, including SQL analytics, search analytics, big data processing ...