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Apex vs AWS Batch: What are the differences?
Developers describe Apex as "Serverless Architecture with AWS Lambda". Apex is a small tool for deploying and managing AWS Lambda functions. With shims for languages not yet supported by Lambda, you can use Golang out of the box. On the other hand, AWS Batch is detailed 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.
Apex and AWS Batch belong to "Serverless / Task Processing" category of the tech stack.
Apex is an open source tool with 7.87K GitHub stars and 573 GitHub forks. Here's a link to Apex's open source repository on GitHub.
Pros of Apex
Pros of AWS Batch
- Containerized3
- Scalable3
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Cons of Apex
Cons of AWS Batch
- More overhead than lambda3
- Image management1