AWS Batch vs Beanstalk: 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, Beanstalk is detailed as "Private code hosting for teams". A single process to commit code, review with the team, and deploy the final result to your customers.
AWS Batch can be classified as a tool in the "Serverless / Task Processing" category, while Beanstalk is grouped under "Code Collaboration & Version Control".