AWS Batch vs Google Cloud Run: What are the differences?
Developers describe AWS Batch as "Fully Managed Batch Processing at Any Scale". It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. On the other hand, Google Cloud Run is detailed as "Run stateless HTTP containers on a fully managed environment or in your own GKE cluster". A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.
AWS Batch and Google Cloud Run can be categorized as "Serverless / Task Processing" tools.